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VISION-LIST Digest Volume 14 Issue 12

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VISION LIST Digest
 · 11 months ago

VISION-LIST Digest    Tue Apr 04 18:56:57 PDT 95     Volume 14 : Issue 12 

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Today's Topics:

3D medical imagery slices now available
Test on Image Understanding
Re: Help: finding true center of a perspective projected circle
Re: Help: finding true center of a perspective projected circle
Re: Efficient Gaussian Pyramid Computation [VISION-LIST digest 14.11]
Looking for refs on "solving jigsaw puzzles by computer"
Re: 1/f simulator.
Lens Selection Guide Availa
PC104 Frame Grabber W/VGA Feature Connector????
Job opportunity at Microsoft Research
Post-Doctoral Position Available - University of Toronto
Research in Face Recognition and NNs
fellowship position
Postgraduate Research Opportunities in Computer Vision and Pattern Recognition at York
Notice: PhD Studentship (Ireland)
visual identification+servoing subcontract offered
ACCV'95 Final Call-4-papers
Short course on Markov random fields
CFP : Fractal Image Encoding and Analysis ASI
Reminder: Embodied Language Submission Deadline April 14th
CFP: Intelligent Vehicles '95
CogSci95 - 2CFP, fees, and abstracts

----------------------------------------------------------------------

Date: Mon, 13 Mar 1995 15:26:12 -0600
From: "Ramin Shahidi" <shahidi@vitalimages.com>
Subject: 3D medical imagery slices now available

This file contains 1 data set MRI_RAW_HEAD

The RAW data is the original MRI_SIGNA_GE data with 256 monochromic
greyscale values. It contains 124 slices of 256x256x16 bits
Each slice has a header of 14336 bits.

There is a program that reads the whole directory, and saves each slice
in a 2D buffer (one slice at a time). After taking the header off and
reading one slice in buffer, it moves to next slice and reads that one
in the same buffer. So note that the buffer is dummy array and if you
want to save each slice you have to read that slice from the buffer and
save it into another. Or you can save the whole 3D data set in a 3D array.
To do so follow the instructions in the program.. you also would need at
least 24 Mbytes of RAM to save the whole data-set in a 3D array.

This program is an honest to god "C" program and you should be able to
compile it with any comercial "C" compiler. Unix User follow this:

cc readimages.c
mv a.out readimages
readimages or ./readimages (depending how you set up your system)

the program will ask you the following questions.
**input directory name
You type MRI_RAW_DATA (or the path to the image dir.)
**input file name
You type file
**Enter the number for the first image being loaded:
You type 10 (or any number 5<n1<124)
**Enter the number for the last image being loaded:
You type 125 (or any number n1<n2<124)
**Enter the Z value between slices in mm:
You type 1.5 (this is to get dimensions right)

It's that simple....
Please forward all question and bugs to shahidi@vizlab.rutgers.edu
good luck..

ps. There is a fully segmented data set of head also available via request.

|--Ramin Shahidi, Ph.D. --shahidi@vitalimages.com |
|--Medical Imaging Sci. --Work: USA) 515-472-7726 |
|--Vital Images, Inc. --Home: USA) 515-472-0717 |

"Imagination is more important than knowledge" Einstein

------------------------------

Date: Mon, 27 Mar 1995 09:09:26 +0000
From: Monika.Sester@ifp.uni-stuttgart.de (Monika Sester)
Subject: Test on Image Understanding

ISPRS Commission III Working Group 3
Test on Image Understanding

Dear (potential) Test - participants,

The ISPRS Working Group III/3 has organized a Test on Image Understanding.
The main topic of this test is to recognize and reconstruct man made objects
in digital images. To this end not only mere images are provided, but
furthermore different kind of additional information, like, stereo images,
color images, GIS-ground truth, DTM's - a sort of range images. The data
has been distributed in April 1994 via anonymous ftp
(ftp://ftp.ifp.uni-stuttgart.de:/pub/wg3 - see readme and documentation
files in that directory for more information)

Now, the deadline for the test is coming closer (April 1995!). In order to
get an impression of how many people are planning to send in their results,
I'd like to get some information from you:

o which datasets are you using ?
o suburb
o flat
o glandorf
o remstal

o what kind of problem are you working on ?
o detection/reconstruction of houses
o detection/reconstruction of streets
o detection/reconstruction of land-parcels
o landuse classification
o derivation of digital terrain model (DTM)
o other, namely: .........

Please, just drop me an e-mail ! (monika.sester@ifp.uni-stuttgart.de)

Looking forward to your answers,

monika sester - institut fuer photogrammetrie - uni-stuttgart - 0711-1213384

------------------------------

Date: Mon, 27 Mar 95 11:33:14 +0200
From: Peter.Vanroose@esat.kuleuven.ac.be
Organization: ESAT, K.U.Leuven, Belgium
Subject: Re: Help: finding true center of a perspective projected circle

Alan Walford wrote:
> I would like to know if there is a way of finding the true center of
> a circle that has been imaged at an angle so it appears as an
> ellipse in an image.
>
> I am quite sure that if you detect the ellipse and find its center
> (the crossing of the minor and major axes) that point will NOT
> correspond to the projected center of the real-world circle.
...
> When the circle is viewed edge on, it appears as a line segment.
> The projected center of the circle is the center of the imaged line
> segment.

Well, it depends how your circle gets transformed. If it is an
AFFINE transformation (i.e., parallel lines remain parallel) then
the centre of the ellips IS the projected centre of the circle.

If the transformation is more generally a PROJECTIVE one (as is the
case with, e.g., a photograph of a flat object like a circle)
you CANNOT decide where the centre is; i.e.: an ellipse can be
the projection of the same circle in different ways, transforming
the centre to different positions.

Thus, it is also NOT true, except for affine transformations, that
the middle of a line segment is projected onto the middle of the
projected line segment, as was suggested in the last section.

Peter Vanroose
Electrotechnical Department (ESAT/MI2)
K.U. Leuven, Belgium.
Peter.Vanroose@esat.kuleuven.ac.be

------------------------------

Date: Mon, 27 Mar 1995 09:58:29 +0000
From: dtm@ap.co.umist.ac.uk (Tim Morris)
Subject: Re: Help: finding true center of a perspective projected circle

Haralick and Shapiro's book, Computer and Robot Vision (?) volume 1, has an
algorithm for finding the parameters of an ellipse from a set of boundary
points. My recollection is that, once you'd found the couple of minor
misprints it was reasonably accurate provided that the boundary points were
well distributed around the ellipse.

Dr. Tim Morris
Department of Computation
UMIST
Manchester
UK
0161 200 3376

------------------------------

Date: 25 Mar 1995 13:37:35 GMT
From: jan@neuroinformatik.ruhr-uni-bochum.de (Jan Vorbrueggen)
Organization: Institut fuer Neuroinformatik, Ruhr-Universitaet Bochum, Germany
Subject: Re: Efficient Gaussian Pyramid Computation [VISION-LIST digest 14.11]

From: Louis Brassard <brassard@cs.sfu.ca>
Subject: Efficient Gaussian Pyramid Computation

I am looking for an efficient way to convolve an image with a set of
gaussian kernels of standard deviations: 1 ,2, 4, 8, 16, 32 . I would like
the result to be a good approximation of the continous gaussian filtering.

In "The Pyramid as a Structure for Efficient Computation" , Burt proposes
an efficient computational method. But this method seems to me a poor
approximation of Gaussian filtering.

Burt, being one of the inventors of this kind of approach, certainly knows
what he's talking about...Does he use a rectangular filter, iterated three to
six times, to approximate a Gaussian filter? This method is very efficient and
actually a very good approximation. The point is that you won't get exactly
the sigma you might want, but usually you can find a set of parameters that
will yield a value very near to the intended one. (This approach is based, of
course, on the central limit theorem of probability theory.) Whether you want
the pyramid structure or not depends on details of your application; in
general, the pyramid is the correct approach from a theoretical point of view
(no unecessary oversampling) and reduces the amount of computation
drastically, while requiring more work to find all the filter responses
belonging to any one pixel, for instance.

Jan

------------------------------

Date: 1 Apr 1995 14:14:21 GMT
From: stolfi@stack.dcc.unicamp.br (Jorge Stolfi)
Organization: DCC - UNICAMP - Campinas, SP, Brazil
Subject: Looking for refs on "solving jigsaw puzzles by computer"

I am looking for any references to the use of computers in solving the
"jigsaw puzzle" problem: given a large set of irregularly shaped
"pieces" (either flat or three dimensional), find subsets whose edges
seem to fit together in some sense.

I suppose a lot has been done and written about this problem.
I am searching computer science journals, but there must be many more
papers scattered all over the applied fields, and I don't
have any clue on where to look.

Here are some real-world "jigsaw puzzles" I can think of:
- ancient manuscripts (e.g. the Dead Sea Scrolls)
- pottery fragments
- broken statues, frescoes, stonework
- ancient continents (Pangaea, Gondwana, ...)
- biochemistry (enzyme/substrate, antibody/antigen, ...)
- paleontology
- forensic medicine
- computer vision
- recreational puzzles

I would be grateful for any pointers to papers, people, or
institutions relevant to the use of computers for solving
such "puzzles".

Since news here expire after a few days, please send your reply by
e-mail to stolfi@dcc.unicamp.br, in addition to (or instead of)
posting it to the net. I will gather the replies in a digest
and post the result to this newsgroup.

Thank you very much,

Jorge Stolfi | http://www.dcc.unicamp.br/~stolfi | stolfi@dcc.unicamp.br
Computer Science Dept. (DCC-IMECC) | Tel +55 (192) 39-8442
Universidade Estadual de Campinas (UNICAMP) | +55 (192) 39-3115
Campinas, SP -- Brazil | Fax +55 (192) 39-7470

------------------------------

Date: Sun, 26 Mar 1995 18:16:27 -0500
From: rannou@cs.utk.edu
Subject: Re: 1/f simulator.

What I need is to add 1/f noise to a set of images I have. 1/f noise
is defined as a stochastic process whose power spectrum is such that

1
S(f) ~ ---
|f|^(alpha)

When using wavelet decomposition, this implies that the noise variance
decreases geometricaly at finer resolution levels.

Fernando Rannou

------------------------------

Date: Thu, 30 Mar 1995 09:03:39 EDT
From: lougheed@qmserv.erim.org (Bob Lougheed)
Organization: Environmental Research Institute of Michigan
Subject: Lens Selection Guide Availa

Subject Lens Selection Guide Available

The Machine Vision Association of the SME has reprinted the Machine Vision
Lens Selection Guide (which includes a Lighting Technique Selection Guide).

This helpful slide-rule like device provides a simple method of determining
what lens to select given object distance and sensor size, and helps
determine depth of field, F-number, etc. etc.

The Lighting Selection guide suggests techniques based on the desired
lighting effect, e.g., Highlight Surface Protrusions, or Glint Reduction.

This Guide is FREE to all SME members, $7 to nonmembers, with some
discounts available to educators. Call SME Customer Service, (800)
733-4763. (They are not completely on the net yet. PLEASE DO NOT SEND ANY
REQUESTS TO ME.)

Bob Lougheed
MVA Board Member

------------------------------

Date: Fri, 31 Mar 95 10:17:30 PDT
From: steve@mastervue.com
Organization: Lightside, Inc.
Subject: PC104 Frame Grabber W/VGA Feature Connector????

I am looking for a frame grabber board that accepts NTSC, in a PC104
configuration, and has a VGA feature connector. If you make such a
product or know of someone who does then please let me know. I can be
reached at steve@mastervue.com

Thanks

------------------------------

Date: Tue, 4 Apr 95 12:49:48 TZ
From: Matthew Turk <mturk@microsoft.com>
Subject: Job opportunity at Microsoft Research

COMPUTER VISION AT MICROSOFT RESEARCH

We are looking for candidates for a position in computer vision
research at Microsoft Research. The main area of interest is in
vision-based human-computer interaction, or "looking at people" -- for
example, tracking people or recognizing gestures. The ideal candidate
will have a Ph.D. in computer science or a related field, a strong
research background in computer vision, experience in building vision
systems, and specific experience with applying vision technology to HCI.

Microsoft Research is part of Microsoft's Advanced Technology Division.
There are currently about 75 researchers in areas such as operating
systems, speech, natural language, decision theory, program analysis,
computer graphics and user interfaces. The Research groups maintain
close ties to other parts of the company (e.g. product development and
consumer applications). We're located in Redmond, Washington (near Seattle).

For details about applying, see the official announcement on
Microsoft's Web page: http://www.microsoft.com. (Look for the job
posting under Employment Opportunities/Advanced Technology/Development
and Research.) If you don't have WWW access, call the Microsoft job
line at 1-800-892-3181 or 1-206-936-5500. For further questions,
e-mail jobinfo@microsoft.com.

------------------------------

Date: Tue, 4 Apr 1995 15:33:17 -0400
From: tsotsos@vis.toronto.edu ("John K. Tsotsos")
Subject: Post-Doctoral Position Available - University of Toronto

Department of Computer Science
University Of Toronto

Post-Doctoral Fellowship Available

A recent doctoral graduate is sought for a two-year position beginning
July 1, 1995. One year of funding is guaranteed; the second year is dependent
on budgetary constraints.

The successful candidate is expected to spend 80% of his/her time on a
project focussed on the topic of 'Real-Time Applications of Visual
Attention Methods', funded by industry and ITRC (Information Technology
Research Centre). The ability and willingness to collaborate effectively with
industrial partners is important.

The remaining 20% is to be devoted to active research on topics in the area of
visual attention.

Qualifications: a recent PhD in Computer Science or Electrical Engineering
in the area of Computer Vision, preferably with at least some emphasis on
attentive processes. Superior implementation skills are needed for this position.
Prior experience with IBM workstations and with real-time image processing
hardware would definitely be an asset as would prior industrial experience.

Salary: $40,000 CAN

Deadline for receipt of applications is May 31, 1995.

Please send letter of intent, curriculum vitae, copies two or three relevant
publications and names, addresses, phone and e-mail of three referees to:

John K. Tsotsos
Dept. of Computer Science
6 King's College Rd.
University of Toronto
Toronto, Ontario, Canada M5S 1A4

Tel: 416-978-3619
FAX: 416-978-1455
E-mail: tsotsos@vis.toronto.edu

------------------------------

Date: 28 Mar 1995 10:12:39 GMT
From: sgg@dcs.qmw.ac.uk (Shaogang Gong)
Organization: Queen Mary & Westfield College, London, UK
Subject: Research in Face Recognition and NNs

POST-DOCTORAL RESEARCH IN FACE RECOGNITION AND NEURAL NETWORKS

Department of Computer Science
Queen Mary and Westfield College
University of London


Applications are invited for a post-doctoral Research Associate to
work on a 3 years project to develop a real-time face tracking and
representation scheme, to study performance characteristics of neural
network learning in feature recognition, and to test an integrated
identification system under different application conditions in order
to quantify learning efficiency and effectiveness. There will be close
collaboration with Datacube UK Ltd and Bond Security Systems Ltd.

You must have or be about to obtain a PhD with research experience
ideally in computer vision and neural networks or closely related area
and have experience of programming in C under X windows and of using
Unix systems. Experience in face recognition and real-time machine
vision will be advantageous.

The Computer Science Department at QMW has a well established research
record in spatio-temporal analysis on image sequences, parallel
computation of image motion and tracking, and object trajectory
prediction through funding from SERC, MRC and ESPRIT. The successful
candidate will be undertaking novel research in a well equipped
vision laboratory consisting of advanced real-time image capturing and
tracking systems (Datacube MaxVideo 250 and MD1/2GX, INMOS Transputers
and AMT DAP 500 parallel processors) hosted by numerous SUN HyperSPARC
and SPARC workstations.

Informal enquiries may be made to Dr Shaogang Gong on +44
(0)171-975-5216 or email sgg@dcs.qmw.ac.uk

The post is funded by the EPSRC for 3 years with a salary in the range
16,075 - 17,700 pounds pa inclusive depending on age and experience.

For further details and an application form please telephone
our 24 hour recruitment line on +44 (0)171-975-5171 quoting Reference
number 95045. Completed applications and C.V. should be returned by 25
April 1995 to: The Recruitment Coordinator, Personnel Office, Queen
Mary and Westfield College, Mile End Road, London E1 4NS, UK.

QMW: WORKING TOWARDS EQUAL OPPORTUNITIES

Shaogang Gong, Computer Science Department,
Queen Mary and Westfield College,
Mile End Road, London E1 4NS, England
Email: sgg@dcs.qmw.ac.uk
WWW: http://www.dcs.qmw.ac.uk/~sgg/
Phone: +44 (0)71 975 5230
Fax: +44 (0)81 980 6533
Telex: 893750 QMCUOL

------------------------------

Date: Tue, 4 Apr 1995 18:54:37 GMT
From: resnick@mvx.grc.nia.nih.gov (Susan Resnick)
Organization: GRC, NIA, NIH, Baltimore, MD, USA
Subject: fellowship position

Postdoctoral Positions in Medical Image Processing and Analysis
Laboratory of Personality and Cognition
National Institute on Aging / Baltimore

The successful candidate should have a background in image processing and
analysis, or a related field, and a strong interest in medical imaging.
Experience in this field is highly desirable.

The postdoctoral fellow will engage in an ongoing collaborative research
project between the National Institute on Aging and the Johns Hopkins
University, whose primary goal is to analyze the effects of aging
on the anatomy and function of the brain and to identify early markers
of the development of Alzheimer's disease. Imaging techniques used in
this study include MRI and PET.

The fellow will be responsible for the development and testing of
statistical and geometric image processing techniques for analyzing the
morphology of the brain and for correlating it with brain function. He/she
will have interaction with other members of our group conducting
research in various fields, including neuroimaging, image analysis,
geometric modelling, and data-basing.

Knowledge of C-programming, Unix, X-window programming, and experience
with image analysis software packages are required.

For additional information please contact Susan Resnick at
resnick@mvx.grc.nia.nih.gov.

------------------------------

Date: Thu, 30 Mar 1995 13:14:39 +0100
From: "Edwin R. Hancock" <erh@minster.york.ac.uk>
Subject: Postgraduate Research Opportunities in Computer Vision and Pattern Recognition at York

The Department of Computer Science at the University of York currently
has 12 research studentships on offer for the session commencing
1st October 1995. These are awarded on a comptetitive basis in all areas
of computer science. There is no deadline for applications, but decisions
are normally made in late June. If you would like to apply for one of these
studentships to undertake research in computer vision, image analysis or
pattern recognition, then contact Edwin Hancock (erh@minster.york.ac.uk)
at The Department of Computer Science, University of York, York Y01 5DD.
Details are available on WWW (http://relax.cs.york.ac.uk/~erh/pub.html or
via the University of York home page http://www.york.ac.uk).

------------------------------

Date: Tue Apr 04 13:14:27 1995
From: whelanp@eeng.dcu.ie
Subject: Notice: PhD Studentship (Ireland)

FUNDED PH.D. STUDENTSHIP IN VISION SYSTEMS

An opportunity exists for a graduate in Electronic Engineering, or an
equivalent degree programme, to pursue postgraduate research leading to
a Ph.D. at the Vision Systems Laboratory within the School of Electronic
Engineering in Dublin City University. Applicants should hold, or expect
to obtain, a first class honours or a higher second class honours degree.
This position will be fully funded for its three year duration.

The successful applicant will be working on the identification and
development of suitable texture analysis and classification schemes for
use in the inspection of natural products. On a micro level, texture
analysis can be applied to surface inspection, while at a macro level
these techniques can be used to classify product flow. Initial stages of
the project will involve a review of existing texture classification
techniques, building on previous work by researchers at the Vision
Systems Laboratory in DCU.

Any suitably qualified individuals who are interested in this opportunity
should send their CV to.

Dr. Paul F. Whelan
Vision Systems Laboratory
School of Electronic Engineering
Dublin City University
Dublin 9, Ireland

Phone: +353-1-7045489
Fax: +353-1-7045508
Email: whelanp@eeng.dcu.ie

For further information on the Vision Systems Laboratory see our WWW
home page at http://www.eeng.dcu.ie/~whelanp/vsg/vsghp.html

Dr. Paul F Whelan
Vision Systems Group, School of Electronic Engineering
Dublin City University, Dublin 9, IRELAND.
Ph: +353 1 7045489 Fax: +353 1 7045508
Email: whelanp@eeng.dcu.ie
http://www.eeng.dcu.ie/~whelanp/home.html

------------------------------

Date: 2 Apr 1995 19:47:16 GMT
From: mjs@hpp.Stanford.EDU (Marcel Schoppers)
Organization: Robotics Research Harvesting
Subject: visual identification+servoing subcontract offered

Hi. I'm writing a proposal for which I could use the help of a well-
known vision/image processing researcher (others need not apply). Interested
parties should make themselves known to me ASAP, the proposal deadline is
rapidly approaching.
Marcel Schoppers
mjs@hpp.stanford.edu

Problem:
My immediate objective is to servo a robot hand to pick up a chess
piece from a chess board with a game in progress. (If anyone knows of similar
work, please tell me.) Your objective is to process (a few) video images --
given knowledge of the usual shapes of the pieces to be picked up, estimates
of where the desired piece and the camera are in space, and the expectation
that the piece is the right way up -- to identify the desired piece, both on
the board and off the board, and get a position estimate that is sufficiently
accurate for grasping, say < 0.1" error. For extra marks later, but much less
importantly for now, we might get into locating the pieces when they've been
randomly scattered on a board or table, or even in a box.
I envision a tiny black/white camera attached to the robot hand, and
the hand can be used specifically to move the camera, but hand motion is not
very repeatable by robot standards, perhaps also < 0.1", so triangulation may
not help much. Given the circuits I expect to use, you'll get digitized images
of 160x160 pixels (or part thereof), uploaded via parallel port to a PC clone,
a few times per second at most. The image processing should be fast enough to
localize and grasp a specified chess piece a few seconds after you know which
one is wanted.
If necessary, you may make use of an infra-red narrow-beam (2dg or 10dg
half-width) range sensor (the Hamamatsu Photo IC and LEDs).
Beyond the chess application I have a more general interest in servoing
robot hands to pick up a small range of things from (say) an office desk, with
and without prior knowledge of position/orientation, but the chess application
comes first.

Schedule:
I'm writing the proposal right now (to the NIH), it's due on April 15.
If you're the subcontractor I'll need from you:
- your Statement of Work and your budget,
- a signed letter from you saying you agree to do that work at that price,
- your resume and publications list (which we will shorten),
- whatever you can show to indicate ability to perform on time and within
budget,
several days before April 15th, and all for inclusion in the proposal.
The work would be done in two phases (it'll be an SBIR type contract).
If awarded, Phase I would start in November and go for 6 months, and would try
to show that the core of the problem is solvable enough to be useful. At the
end of Phase I (May 1996) we write a Phase II proposal including your write-up
of your results and spelling out how you intend to robustify/generalize. If we
win a Phase II contract too, we start the Phase II work in November 1996 and go
for two years until November 1998.

Constraints:
Your Phase I work is constrained by law to a budget of < $30K. Your
Phase II work is constrained by law to a budget of < $200K. Both of those
limits may be lowered by my allocation decisions and detailed budgeting. The
good news is that since this is SBIR money, once we've won it won't be taken
away by Congress changing its mind; only *I* could terminate your contract.
The Federal Government wants us to be simultaneously cutting-edge and
risk-free, so we have to hedge. The Phase II money is for reducing a novel
idea to robust practice, the Phase I money is for demonstrating that Phase II
is going to work (and for writing the Phase II proposal). In addition to these
fairly normal SBIR objectives, however, my personal income depends on this in
the most direct way, if we screw up I'm out of a job, and I want to make it not
just to the Phase II contract but all the way to something marketable. While I
am a researcher myself and so understand research risk pretty well (see the
latest issue of the AI Journal) I'm also a business person now, wanting to buy
a specific capability from you, not give you a research grant to spend any way
you like (though of course there'll be some wiggle room).
You must be willing to hand over your source code to me and let me
modify, duplicate and sell it as I wish.

About Me:
I got my PhD in 1989 from the U of Illinois/Urbana in AI planning, have
worked on DoD and NASA contracts from 1986-1992 under the auspices of a small
business (not mine), and have now started up my own business. Despite being
constantly in business I'm still managing to publish 2-3 research papers per
year in AAAI, planning conferences, and journals. Presently I'm working a 2-
year contract for NASA, but given how long the funding cycle is, it's time to
look for more income.
I've managed subcontractors (such as you would be) since about 1989.

If you're interested, you can either email me as mjs@hpp.stanford.edu, or for
efficiency's sake you can phone me at 415-369-4222 during California office
hours.

------------------------------

Date: 31 Mar 1995 17:51:52 +0800
From: hw@ntu.ac.sg (Wang Han)
Organization: Nanyang Technological University
Subject: ACCV'95 Final Call-4-papers

CALL FOR PAPERS

SECOND ASIAN CONFERENCE ON COMPUTER VISION
ACCV'95

5-8 DECEMBER 1995
CONCORD HOTEL, SINGAPORE

The Second Asian Conference on Computer Vision, ACCV'95, will be
held in Singapore on 5-8 December 1995. The theme of ACCV'95 is
"Computer Vision for the Twenty First Century". The conference will
provide a forum for researchers to exchange up-to-date technical
knowledge and experience. The conference will focus on theory as well
as applications of Computer Vision. In addition to the technical
sessions, there will be plenary, invited and tutorial sessions. The
Keynote speakers will be Professor Anil Jain from Michigan State
University, USA, and Professor Yoshiaki Shirai from Osaka University,
Japan. A one day tutorial on 3-D DATA ACQUISITION, INTERPRETATION, AND
MOTION ANALYSIS will be given by Prof. Shirai. Also, another one day
tutorial on PATTERN RECOGNITION AND NEURAL NETWORKS will be given by
Prof. Jain.

Papers describing original work in, but not limited to, the
following research areas are invited:

IMAGE PROCESSING LEARNING IN COMPUTER VISION
STEREO VISION PATTERN RECOGNITION
MOTION ANALYSIS & TRACKING ROBOT & MACHINE VISION
TEXTURE ANALYSIS MOBILE ROBOTS & NAVIGATION
SENSOR FUSION REMOTE SENSING
ACTIVE VISION MEDICAL IMAGING
PHYSICS BASED VISION REAL-TIME VISION SYSTEMS
INVARIANT FEATURES PARALLEL ALGORITHMS
SEGMENTATION & GROUPING APPLICATIONS OF COMPUTER VISION
FEATURE EXTRACTION VIRTUAL REALITY
IMAGE UNDERSTANDING IMAGE DATABASE & RETRIEVAL


SUBMISSION PROCEDURE

Papers must be written in English and should describe the work in
some details. THREE COPIES OF THE EXTENDED SUMMARY OF THE PAPERS (1000
- 1500 words) must be submitted for review. Please include in the
forwarding letter the author's name (underline SURNAME) to whom the
correspondence should be addressed. Also include address, telephone
and fax numbers, e-mail address, and the broad classification of your
paper.

Upon acceptance, at least one of the authors will be required to
register and then present the paper. The length of the final papers in
the proceedings will be limited to a maximum of 5 pages (5 mats A4
size, single space, font size 10, two columns format), including
figures, tables and references. Accepted papers will be categorized in
either oral presentation or poster sessions.


SELECTED PAPERS WILL BE CONSIDERED FOR PUBLICATION IN A FEW
INTERNATIONAL JOURNALS.


INVITED SESSIONS

The Programme Committee is also soliciting proposals for invited
sessions focusing on topics related to the theme of ACCV'95. An
invited session is expected to have 5 to 6 papers on a specialized
topic. Please submit your proposals to Dr Stan Li (his address is the
same as the address given below) before 30 June 1995.

PLEASE SUBMIT THREE COPIES OF THE EXTENDED SUMMARY OF YOUR PAPER
FOR REVIEW TO:

Mr Eric Sung, Technical Programme Chairman of ACCV'95
c/o Research lab IV
School of Electrical and Electronic Engineering
Nanyang Technological University
Nanyang Avenue, Singapore 2263
Republic of Singapore
Tel : (65) 799-5419, or (65) 799-5470
Fax : (65) 791-2687
E-mail: accv95@ntu.ac.sg

|---------------------------------------------------------------|
| AUTHOR'S SCHEDULE : |
| |
| 30 June 1995 Submission of summary of the papers |
| 31 August 1995 Notification of Acceptance |
| 15 October 1995 Submission of Camera Ready Manuscripts |
|---------------------------------------------------------------|

REGISTRATION FEE

The registration fee will be S$ 480 (US$ 350). A discount of S$
30 (US$ 20) will be given to delegates who register before 15 October
1995. The tutorials registration fee will be S$ 250 (US $ 180). The
payment should be made payable to "Nanyang Technological University".

TRAVEL

Specially priced Airline Tickets for attending the conference may be
available from our official airline, SINGAPORE AIRLINES.


ORGANISERS

School of EEE, Nanyang Technological University
IEEE Singapore Section, Computer Chapter


CO-SPONSORS

The International Association for Pattern Recognition (IAPR)
The Inst. of Elect. Info. and Comm. Engineers of Japan (IEICE)
Info. Processing Society of Japan (IPSJ)
National Science and Technology Board (NSTB)
The Inst. of Engineers, Singapore (IES)
Defence Science Organization (DSO)
GINTIC Institute of Manufacturing Technology (GIMT)
Singapore Computer Society(SCS)
Singapore Industrial Automation Assoc. (SIAA)


INTERNATIONAL ADVISORY COMMITTEE

Ahuja N, U of Illinois, USA
Aggarwal J, U of Texas, USA
Bowman C, Ind. Res. Ltd, New Zeland
Brady M, Oxford U, UK
Buxton B F, U C L, UK
Caelli T, Curtin U, Australia
Chin F, U of Hong Kong, HK
Faugeras O, INRIA, France
Gu W, Zhejiang U, China
Huang T S, U of Illinois, USA
Jain A K, Michigan State U , USA
Jarvis R A, Monash U, Australia
Kim K I, POSTECH, Korea
Lee B, N T U, Singapore
Lim Y S, U of Indonesia, Indonesia
Ma, S D, Chinese Acad. of Sci., China
Murni A, U of Indonesia, Indonesia
Nandhakumar N, U of Virginia, USA
Nagel H H, Fraunhofer Inst., Germany
Pong T C, HKUST, HK
Shirai Y, Osaka U, Japan
Singh H, N T U, Singapore
Sugihara K, U of Tokyo, Japan
Tai J W, Chinese Acad. of Sci., China
Takagi M, U of Tokyo, Japan
Ullman S, W I of Sci. Israel
Vemuri B C, U of Florida, USA
Venkatachalam, U S M, Malaysia
Venkatesh Y V, I. I. of Sci., India
Wang F Y, U of Arizona, USA
Wang P, Northeasten U, USA
Yang H S, KAIST, Korea


ORGANISING COMMITTEE

Advisor - Mital, Dinesh P.
General Chairman - Teoh, Eam Khwang
Programme Chairman - Sung, Eric
Programme Co-Chairman - Wang, Han
Keynote/Tutorials - Krishnan, Shankar M.
Invited Sessions - Li, Stan
Secretary - Chan, Kap Luk
Local Arrangements - Er, Meng Joo
Publications - Chutatape, Opas
Publicity - Zribi, Mohamed
Finance - Wang, Dan Wei

------------------------------

Date: Mon, 27 Mar 1995 15:13:32 +0100
From: joans@upisun2.uab.es (Joan Serrat)
Subject: Short course on Markov random fields

SHORT COURSE ANNOUNCEMENT

MARKOV RANDOM FIELDS IN IMAGE PROCESSING

BY PROF. MARC SIGELLE

from the Image Laboratory of the Ecole Nationale Superieure=

des Telecommunications of Paris


Dates : 29 - 31 May 1995

Location : Computer Vision Center
Universitat Autonoma de Barcelona
Bellaterra (Barcelona)
SPAIN



CONTENTS

1. Introduction : Definitions and theorems. Basic examples. Relation
with statistical physics
2. Textures : synthesis and analysis. Parameter estimation
3. Basic applications :
- Segmentation
- Restoration
- Relaxation labelling
- Data fusion : SPOT and SAR image segmentation
- Contour detection
4. Multiscale and hierarchical approaches
5. Analysis of image sequences
6. Other related techniques : renormalization, mean field, partial
differential equations
7. Gibbs specifications and phase transitions
8. Conclusions



ABOUT THE LECTURER

Prof. Marc Sigelle is staff researcher and lecturer at the Image
Laboratory of the Ecole Nationale Superieure des Telecommunications=
=20
of Paris. He has publisehd a number of papers in several internationa=
l
journals such as IEEE Transactions on Image Processing, IEEE Transact=
ions
on Medical Imaging and Medical and Biological Engineering and Computi=
ng.
His research areas of interest are the theory of Markov random fields=
and
other models of statistical physics applied to image processing and a=
nalysis.
His works have been centered on biomedical images and remote sensing.



COURSE SCHEDULE

Monday 29 through Wendsday 31 May, from 9:30 to 13:30



ENROLLMENT=20


Course fee : 25000 pesetas (about $185 US or 1000 FF), VAT included.
Payment should be made in spanish currency by :

- check payable to the Computer Vision Center
- bank transfer to Caixa de Catalunya, office number 692,
account number 2013-0692-81-0201153274. Please, state your
name and reference to the course
- cash at the registration desk the first day of the course


Name : ___________________________________________________________=
_

Company, Organization : _____________________________________________=
_

___________________________________________________________=
_

Department : ________________________________________________________=
_

Address : ___________________________________________________________=
_
=20
___________________________________________________________=
_

Tel. : _______________________ Fax : ________________________=
_

e-mail : ___________________________________________________________=
_

Payment : Check Bank Transfer Cash


For further details about this course, please contact Miss Carmen Ram=
=EDrez

Computer Vision Center
Departament d'Informatica
Edifici C
Universitat Autonoma de Barcelona
08193 - Bellaterra (Cerdanyola)
SPAIN

Tel. +34 3 581 30 15
Fax +34 3 581 16 70
e-mail : cvc@cvc.upisun1.uab.es

For more information about the course and the recently created Comput=
er Vision=20
Center, please contact WWW http://upisun4.uab.es

------------------------------

Date: Mon, 27 Mar 1995 11:54:02 +0200
From: Frederic Gilbert <Frederic.Gilbert@inria.fr>
Subject: CFP : Fractal Image Encoding and Analysis ASI

CALL FOR PARTICIPATION
***********************


Fractal Image Encoding and Analysis
====================================

a NATO Advanced Study Institute
================================


July 8-17, 1995
at the
Reso Royal Garden Hotel
Trondheim, Norway



Objectives
============

The Advanced Study Institute (ASI) is an expository meeting in which invited
speakers present new advances in fractal image encoding and analysis. The
meeting has two main objectives: First, the ASI will focus on presenting
material that is not taught elsewhere and that is not available from any one
source. Researchers with fractal image analysis and encoding backgrounds will
demonstrate their techniques to each other in order to advance both fields.
Workshops in both areas will discuss specific implementation issues and generate
a list of interesting unsolved problems.



Scope
======

Topics to be covered include, but are not limited to:

o Fractal Analysis and Modeling of 2D data.
o Multifractal image segmentation
o Encoding methods: VQ, classification, breaking the time complexity, search
strategies.
o Decoding methods: pyramid representation, pixel chasing, finite step
decoders, matrix inversion.
o Video and Color encoding.
o Analysis and Implementation Workshops.



Structure/Participation
========================

Four invited talks will be given each day, followed by one or two shorter
selected talks by participants in the institute. A poster session will be held
during the breaks and in the evenings. The institute will also include two
workshops, one on image encoding and one on image analysis.

Participants wishing to present talks or posters should e-mail, fax, or mail an
extended abstract (2-3 pages) describing their proposed lecture/poster-session
to the ASI (see contact information) before April 15, 1995. NATO asks that
participants stay for the full duration of the ASI.



Registration Fees
==================


before April 15, 1995 after April 15, 1995
advanced registration rates regular rates
------------------------------------------------------------
regular | US$439.00 | US$589.00
student ** | US$219.00 | US$399.00
------------------------------------------------------------
** proof of status required


To register, complete the registration form available from the
http://inls.ucsd.edu/y/ASI/ WWW page, and return it by mail or fax to
(619) 534-7664 with your payment (currently payment can only be made by check or
money order made payable to "NATO ASI"; credit card payments will be available
soon).

Preregister by April 15 to take advantage of advanced registration rates.
Registration received after April 15, 1995 will be charged at normal rates. NATO
limits the size of the institute to a maximum of 80 people. On-site registration
will not be possible.



Invited Speakers
=================

o THE LIST IS IN THE PROCESS OF BEING FINALIZED.



Proceedings
============

Talks given by the invited speakers will be collected in a NATO ASI series book
published by Springer Verlag. Participants in the institute will receive a free
copy when the book is published.



Sponsors
=========

o NATO
o Rockwell International.
o Institute for Nonlinear Science, University of California, San Diego.



Scientific and Organizing Committee
====================================

o Director:
o Yuval Fisher
o Co-directors:
o Jacques Levy-Vehel
o Geir Oien
o Claude Tricot



Contact Information
====================


NATO Fractal Image Encoding and Analysis ASI
Institute for Nonlinear Science 0402
University of California, San Diego
9500 Gilman Drive
La Jolla, CA 92093-0402
USA


Phone: (619) 534-5599
Fax: (619) 534-7664
E-mail: asi@poincare.ucsd.edu
WWW: http://inls.ucsd.edu/y/ASI/

------------------------------

Date: Fri, 31 Mar 1995 20:21:12 -0500
From: ian@ai.mit.edu (Ian Horswill)
Subject: Reminder: Embodied Language Submission Deadline April 14th

Call for Participation
EMBODIED LANGUAGE AND ACTION

AAAI 1995 Fall Symposium Series
November 10-12, 1995
MIT, Cambridge Massachusetts


This symposium focuses on agents that can use language or similar
communication, such as gesture, to facilitate extended interactions in
a shared physical or simulated world. We examine how this embodiment
in a shared world both stimulates communication and provides a
resource for understanding it. Our focus is on the design of
artificial agents, implemented in software, hardware, or as animated
characters. Papers should clearly relate the technical content
presented to one of the following tasks:

--- Two or more communicating agents work together to
construct, carry out maintenance on, or destroy a physical
or simulated artifact (Collaborative Engagement)

--- An agent assists a human by fetching or
delivering physical or software objects.
The human communicates with the agent about what
is to be fetched or delivered to where.
(Delivery Assistance)

We solicit papers on the following issues (not to the exclusion of
others):

-- Can task contexts act as resources for communication by
simplifying the interpretation and production of communicative acts?

-- How does physical embodiment and its concomitant resource
limitation affect an agent's ability to interpret or generate
language?

-- Can architectures designed to support perception and action support
language or other forms of communication?

-- How can agents to mediate between the propositional representations
of language and the (often) non-propositional representations of
perception and action?

-- What tradeoffs exist between the use of communication to improve
the agents' task performance and the additional overhead involved in
understanding and generating messages?

-- Do differences between communication used to support concurrent task
execution and communication used to support planning, reflect deeper
differences in agent ability?

-- What is the role of negotiation, whether of task responsibilities,
or of reference and meaning, in such situated task environments?

Interested participants should submit either (1) a paper (in 12 pt
font, not to exceed 3000 words), or (2) a brief position statement.

Send contributions, plain ascii or postscript, by April 14, 1995 to
ian@ai.mit.edu. Notification of acceptance will be given by May 19,
1995. Material to be included in the working notes of the symposium
must be received by August 15, 1995.

If electronic submission is impossible, mail 6 copies to:

Ian Horswill
MIT Artificial Intelligence Laboratory
545 Technology Square
Cambridge, MA 02139

COMMITTEE:
John Batali, UCSD
Jim Firby, University of Chicago
Ian Horswill, MIT (CoChair)
Marilyn Walker, Mitsubishi Electric Research Labs (CoChair)
Bonnie Webber, University of Pennsylvania

------------------------------

Date: Mon, 3 Apr 95 10:47:14 JST
From: hasegawa@etl.go.jp (Osamu Hasegawa)
Subject: CFP: Intelligent Vehicles '95

Final Call for Papers

Intelligent Vehicles '95

September 25-26, 1995 in Detroit, USA

The IEEE/IES Intelligent Vehicle Committee organizes an international
symposium once every year in cooperation with other related institutions.

These symposia have a single session fromat so that all attendants remain in
a single room for multilateral communications in an informal atmosphere.
As another tradition, the meetings have enthusiastic participation from
industry as well as universities. The topics for

Senseing (Vision, Millimeter Rader, Laser Radar, etc.)
Control (Neural Nets, Fuzzy Logic, etc.)
Communication
Real-Time Traffic Control, Navigation, ITS
Advanced Electronics for Vehicles and other related issues.

Please send three copies of an one-page abstract to "Ichiro Masaki"
whose address is included below. The deadline for the abstracts is

"April 28, 1995". (extended)

Author's Schedule
April 28: three copies of one-page abstract
May 26: acceptance notice
July 1: camera-ready paper (6 pages maximum)

If you would like to have your name on our mailing list, please write
"Intelligent Vehicles" on the back of your business card (or a card with
your address, phone, fax, and e-mail), and mail it to:

Roger D. Fruechete
Vehicles Systems Department
General Motors Research and Development Center
30500 Mound Road, Box 9055
Warren, Michigan 48090-9055, USA
Phone (+1)810-986-9595
Fax (+1)810-986-3003
RFRUECHT@cmsa.gmr.com

OR

Ichiro Masaki
Room NE43-721, Artificial Intelligence Lab.
Massachusetts Institute of Technology
545 Technology Square, Cambridge
MA 02139, USA
phone (+1)617-253-8532, fax (+1)617-258-7334
E-mail: masaki@mit.edu


Osamu Hasegawa, Electrotechnical Lab., Tsukuba, Japan
hasegawa@etl.go.jp

------------------------------

Date: Tue, 04 Apr 95 16:30:57 BG
From: Boicho Kokinov <KOKINOV@BGEARN.BITNET>
Subject: CogSci95 - 2CFP, fees, and abstracts

2nd International Summer School
in
Cognitive Science
Sofia, July 3-16, 1995

Second Call for Papers and School Brochure

Endorsing Organizations:
the European Society for Cognitive Psychology and
the European Coordinating Committee for Artificial
Intelligence

The Summer School features introductory and advanced courses
in Cognitive Science, participant symposia, panel
discussions, student sessions, and intensive informal
discussions. Participants will include university teachers
and researchers, graduate and senior undergraduate students.

International Advisory Board

Elizabeth BATES (University of California at San Diego, USA)
Amedeo CAPPELLI (CNR, Pisa, Italy)
Cristiano CASTELFRANCHI (CNR, Roma, Italy)
Daniel DENNETT (Tufts University, Medford, Massachusetts,
USA)
Ennio De RENZI (University of Modena, Italy)
Charles DE WEERT (University of Nijmegen, Holland )
Christian FREKSA (Hamburg University, Germany)
Dedre GENTNER (Northwestern University, Evanston, Illinois,
USA)
Christopher HABEL (Hamburg University, Germany)
Joachim HOHNSBEIN (Dortmund University, Germany)
Douglas HOFSTADTER (Indiana University, Bloomington, Indiana,
USA)
Keith HOLYOAK (University of California at Los Angeles, USA)
Mark KEANE (Trinity College, Dublin, Ireland)
Alan LESGOLD (University of Pittsburg, Pennsylvania, USA)
Willem LEVELT (Max-Plank Institute of Psycholinguistics,
Nijmegen, Holland)
David RUMELHART (Stanford University, California, USA)
Richard SHIFFRIN (Indiana University, Bloomington, Indiana,
USA)
Paul SMOLENSKY (University of Colorado, Boulder, USA)
Chris THORNTON (University of Sussex, Brighton, England)
Carlo UMILTA' (University of Padova, Italy)

Courses

Computer Models of Emergent Cognition - Robert French
(Indiana University, USA)
Hemispheric Mechanisms in Cognition - Eran Zaidel (UCLA,
USA)
Cross-Linguistic Studies of Language Processing -
Elizabeth Bates (UCSD, USA)
Aphasia Research - Nina Dronkers (UC at Davis, USA)
Topics in Cognitive Linguistics - Elena Andonova (NBU,
Bulgaria)
Parallel Pathways of Visual Information Processing -
Angel Vassilev (NBU, Bulgaria)
Color Vision - Charles De Weert (University of Nijmegen,
The Netherlands)
Spatial Attention - Carlo Umilta' (University of Padova,
Italy)
Integration of Language and Vision - Geoff Simmons
(Hamburg University, Germany)
Analogical Reasoning: Psychological Data and
Computational Models - Boicho Kokinov (NBU, Bulgaria)
Philosophy of Mind - Lilia Gurova (NBU, Bulgaria)
Emotion and Cognition - Cristiano Castelfranchi (CNR,
Italy)

Participant Symposia

Participants are invited to submit papers reporting completed
research which will be presented (30 min) at the participant
symposia. Authors should send full papers (8 single spaced
pages) in triplicate or electronically (postscript, RTF, or
plain ASCII) by April 17. Selected papers will be published
in the School's Proceedings. Only papers presented at the
School will be eligible for publication.

Student Session

Graduate students in Cognitive Science are invited to present
their work at the student session. Research in progress as
well as research plans and proposals for M.Sc. Theses and
Ph.D. Theses will be discussed at the student session.

Panel Discussions

Language Processing: Rules or Constraints?
Vision and Attention
Integrated Cognition

Local Organizers

New Bulgarian University, Bulgarian Academy of Sciences,
Bulgarian Cognitive Science Society

Endorsing Organizations

European Society for Cognitive Psychology, European
Coordinating Committee for Artificial Intelligence

Local Organizing Committee

Boicho Kokinov - School Director, Elena Andonova, Lilia
Gurova, Vassil Nikolov, Lora Likova

Timetable

Registration Form: as soon as possible
Deadline for paper submission: April 17
Notification for acceptance: May 15
Early registration: May 30
Arrival day and on site registration July 2
Summer School July 3-14
Excursion July 15
Departure day July 16

Paper submission to:
Boicho Kokinov
Cognitive Science Department
New Bulgarian University
21, Montevideo Str.
Sofia 1635, Bulgaria
e-mail: cogsci95@adm.nbu.bg or kokinov@bgearn.bitnet

Send your Registration Form to:
e-mail: cogsci95@adm.nbu.bg


Course Abstracts

Computer Models of Emergent Cognition
Robert French (Indiana University, USA)

This course starts by first considering why we even think
that modeling human cognition on a computer might be
possible. This is followed by a general presentation of
papers related to Turing's celebrated way of looking at the
question, "Can Machines Think?" There will then be a
presentation of and discussion of arguments for and against
the Physical Symbol System Hypothesis, the basis of
traditional computer modeling of intelligence. There will
then be a similar treatment of emergent models of cognition,
in particular, connectionist models of cognition and
classifier systems. This will lead to the conclusion that the
future of cognitive modeling lies in the integration of top-
down and bottom-up models. We will examine one approach to
this, starting from an older top-down perspective, that
focuses on a stochastic computer-model of analogy-making. We
will see two other approaches to the same endeavor of
integrating top-down and bottom-up processing that start from
a connectionist framework. Throughout, emphasis will be put
on the fundamental inseparability of representation-building
and processing.

Robert French

Robert French received his Bachelor's and Master's degrees in
mathematics before leaving for France to work as a
translator. Upon completion of the translation into French
of Douglas Hofstadter's Godel, Escher, Bach, he returned to
the U.S. to do his Ph.D. in computer science at the
University of Michigan with Hofstadter. The topic of his
dissertation as well as his forthcoming book (MIT Press) is
the computer modeling of analogy-making. His other major
areas of research are the problem of catastrophic
interference in connectionist networks and the organization
of bilingual memory. He is currently a member of the Center
for Research on Concepts and Cognition at Indiana University
and an honorary fellow in the department of psychology at the
University of Wisconsin.

Hemispheric Mechanisms in Cognition
Eran Zaidel (UCLA, USA)

The course will review language and cognitive functioning in
commissurotomy patients and will discuss interhemispheric
relations in split and normal brains. The problems of
hemispheric specialization, independence, and control will be
discussed. The disconnection syndrome, partial callosal
section and subcallosal transfer will be described. Methods
and models of studying interhemispheric relations in normal
and split brain will be outlined. Degrees of modularity
(hemispheric independence) as well as interhemispheric
effects will be discussed. Individual differences will be
considered.

Eran Zaidel

Eran Zaidel received his PhD from Caltech working with Roger
Sperry. He is currently a Professor of Psychology at UCLA. He
has been a member of the Editorial Boards of Brain and
Cognition, Neuropsychologia, Neuropsychology. He has been the
Secretary of the Academy of Aphasia and got the NIMH Research
Scientist Award. He is interested in interhemispheric
relations and cooperation in processing hierarchical
patterns, in lexical processing, and in problem solving; in
hemispheric control in the normal brain; in split brain
research.


Cross-Linguistic Studies of Language Processing
Elizabeth Bates (UCSD, USA)

The course will cover more than 20 years of cross-linguistic
research on language learning and language use, in normal
individuals and in patients with focal brain injury. We will
begin with a general introduction to the Competition Model, a
theoretical framework developed by Bates, MacWhinney and
colleagues to deal with quantitative as well as qualitative
differences in knowledge and performance across structurally
distinct language types. This section will stress the
contrast between interactive-activation and modular theories
in psycholinguistics, and contrasting computer metaphors that
underlie each approach (i.e. neural networks vs. serial
digital computers). After this theoretical overview, we will
review cross-linguistic findings within the Competition Model
framework, divided into four areas: (1) sentence processing
in normal adults (comprehension, production, grammaticality
judgment, morphosyntactic constraints on lexical access), (2)
language development in normal children (with a special
emphasis on studies of sentence comprehension), (3)
bilingualism and second-language learning, and (4) cross-
linguistic studies of language processing in aphasia.

Elizabeth Bates

Elizabeth Bates is a Professor of Cognitive Science and
Psychology at the University of California, San Diego. She
is the Durector of the UCSD Center for Research in Language
and the Director of the UCSD Project in Cognitive and Neural
Development. She got her PhD from the University of Chicago.
Her basic research interests are in Brain organization for
language in children and adults, Psycholinguistics
(especially cross-linguistic comparisons), Language and
cognitive development. She has been member of the Editorial
Boards of many research journals: Developmental Psychology
Journal of Memory and Language, JEP: Human Learning & Memory
SRCD Monographs, Journal of Speech & Hearing Disorders
Discourse Processes, Journal of Speech & Hearing Research,
Infant Behavior & Development, Brain and Cognition, Language
and Cognitive Processes, Brain and Language, Psychological
Review, Rassegna di Psicologia, Journal of Child Language,
Cognitive Development.

Aphasia Research
Nina Dronkers (UC at Davis, USA)

This course will present descriptions of the different types
of aphasia, the brain regions that underlie them, and the
applications of neuroimaging to the study of aphasia. It
will begin with a discussion of the history of aphasiology
and the characteristics of the different language disorders.
Aphasia classifications will be reviewed and, if possible,
videotapes of patients exhibiting the various disorders will
be shown. The latter part of the course will review the
traditional language areas and models of language processing
and how these apply to aphasia. Participants will also learn
to view CT and MRI scans of patients with aphasia and to
apply this knowledge to both their basic understanding of
language processing in the brain and to the management of
patients with aphasia.

Nina Dronkers

Nina Dronkers is the Chief of the Audiology and Speech
Pathology Service at the VA Northern California System of
Clinics. She is also an Adjunct Assistant Professor at the
University of California at Davis in the Departments of
Neurology and Linguistics. She received her Ph.D. in
Neuropsychology at the University of California, Berkeley.
Since that time, she has conducted research at the VA
Martinez in the areas of aphasia and other cognitive deficits
resulting from brain injury, the cerebral localization and
lateralization of language, and studies of semantic priming
in aphasic and normal individuals. She has received several
grants to support this research, primarily from the National
Institutes of Health, the VA Department of Medical Research,
and the National Science Foundation. Her publications cover
several issues in aphasiology and the effects of

brain injury 
on the linguistic system. She is an active member of the
Academy of Aphasia and the International Neuropsychological
Society.

Topics in Cognitive Linguistics
Elena Andonova (NBU, Bulgaria)

This course is intended as a discussion of selected topics of
cognitive linguistics rather than as a survey of the field.
Basic notions and principles will be introduced. The
connections between cognitive linguistics and another fast-
growing field, discourse analysis will be examined.
Correspondences between the mechanisms of metaphorization and
discourse strategies will be viewed in light of the
relationship between cognition and communication. In this
connection, the idea of euphemization is introduced both as a
development of metaphorization and as a discourse process.
Adopting the point of view of critical discourse analysis
which shuns the 'consensus' notion of social communication
would require us to consider the constructive function of
language and diachronic changes.

Elena Andonova

Elena Andonova is an Assistant Professor in Cognitive
Linguistics at the Department of Cognitive Science, New
Bulgarian University, in Sofia. She has a B.A. and an M.A. in
English from Sofia University and is currently working on the
final stages of her Ph.D. with the University of Wales
College Cardiff in the United Kingdom. Her main interests in
the field of lingustics are in areas concerned with the
cognitive and communicative aspects of language, more
particularly, cognitive linguistics, metaphorization and
euphemization, (critical) discourse analysis, discourse
strategies, etc.

Parallel Pathways of Visual Information Processing
Angel Vassilev (BAS & NBU, Bulgaria)

Our unified experience of the visual world is, surprisingly,
a result of information processing within multiple parallel
retino-cortical and intracortical pathways. Anatomical and
neurophysiological data about the existence of such pathways
and particularly the methodology of classification will be
discussed. The role of separate pathways in the perception of
colour, form, motion, and stereopsis will be outlined. Recent
data on multiple cortical visual centres, obtained by brain
imaging techniques, will be presented. Attempts to
selectively test the integrity of separate pathways will be
presented. The question of how the information, contained in
the separate representations, is brought together to yield
unified experience of the visual world will be characterized
as a major target of future research.

Angel Vassilev

Angel Vassilev received his PhD from Pavlov's Institute of
Physiology in Sankt Petersburg, and a D.Sc.. degree in Sofia.
He received a postdoctoral research grant at the Department
of Psychology at the University of Pennsylvania at
Philadelphia, USA. Angel Vassilev is currently a Senior
Research Fellow at the Institute of Physiology of the
Bulgarian Academy of Sciences and a Professor of
Neurosciences at the Cognitive Science Department of the New
Bulgarian University. He is the Head of the Visual
Information Processing Laboratory. His research interests are
in the field of visual psychophysics and electrophysiology.

Colour Vision
Charles De Weert (University of Nijmegen, The Netherlands)

In a short course of 8 hours some basic aspects of colour
vision will be dealt with. The first two hours will be spent
on the technical descriptions of colour (the CIE System) such
that a proper stimulus description is ensured. A very simple
zone theoretical model of colour vision will be taken to
explain baisc colour vision phenomena. Next the discussion
will be opened on the possibly modular character of colour
vision, and special attention will be paid to a series of
isoluminance experiments. In the next two hours color
constancy will be dealt with and the final two hours will be
used to deal with the use of colour for displaying
information.

Charles De Weert

Charles M.M.de Weert, Master's degree in Experimental Physics
at the Utrecht State University, The Netherlands in 1968, PhD
thesis on 'Binocular Colour and Brightness Combination' in
Cognitive Science in 1976 (University of Nijmegen, The
Netherlands, Supervisor Professor dr.W.Levelt). Since 1987 he
is Director of the Nijmegen Institute for Cognition and
Information (NICI), a Graduate School in Cognitive Sciences,
with about 50 senior research fellows and about 50 PhD
students. He is a full professor in Psychophysics at the
Nijmegen University and his main lines of research are
(still) in Colour Vision and in Binocular Vision.

Visuo-Spatial Attention
Carlo Umilta' (University of Padova, Italy)

Even in the restricted sense of a selective process,
attention refers to different phenomena. An individual may
selectively attend to information presented in a particular
modality, to information originating from a particular
position in space, to stimuli possessing a particular color
or shape, or to items belonging to a particular class or
category. The feature common to all these phenomena is that
information to which attention is selectively allocated is
processed more efficiently than non-attended information.

The course is exclusively concerned with the spatial aspects
of selective attention, i.e., with the selective allocation
of attention to a particular position in space. The first
part deals with the hypotheses of how attention shifts from
one position to another in visual space and with the
relations between attention and eye movements. In the second
part, the analogies of focal attention are illustrated and
their implications are discussed. Particular emphasis is
given to the operations that allow the control of size and
shape of attentional focus.

Carlo Umilta'

Carlo Umilta' is currently a Professor of Psychology at the
University of Padova. He is a former Director of the
Institute of Human Physiology of the University of Parma,
1983/9. He is a member of the editorial Boards of several
scientific journals: Brain and Cognition, Cognitive
Neuropsychology, Cortex, European Journal of Cognitive
Psychology, Journal of Experimental Psychology: Human
Perception and Performance, Psychological
Research/Psychologische Forschung. He is an ex-President of
the Italian Neuropsychological Society as well as of the
European Society for Cognitive Psychology. He is currently
the Chair of the Executive Committee of the International
Society for the Study of Attention and Performance. His main
research interests are in the field of visual attention.

Integration of Language and Vision
Geoff Simmons (Hamburg University, Germany)

In the past two years or so, there has been a revival of
interest in the relationships between lexical meanings and
visual perception. Analyses of both of these cognitive
modalities have yielded very revealing accounts of human con-
ceptual structures and cognitive architecture, and these
accounts are expected to comple-ment and mutually constrain
each other. In this course we consider some of the evidence
and theories that have been proposed.

Spatial knowledge ? knowledge of the relative locations of
objects, and knowledge of the shapes of the objects
themselves ? is the conceptual domain where the relationships
between language and vision are most commonly sought. This
has been made possible by in-depth linguistic studies of
spatial prepositions, dimensional adjectives and other
lexical fields; and by investigations of the perception of
locations and shapes in experimental psychology and neuro-
science. We will also consider the classic work of Berlin and
Kay on color vision and color terms in the world's languages.

In the course we will examine some of the relevant empirical
evidence, and consider computa-tional models that have been
put forth in explanation. This will bring us to some deeper
questions concerning cognitive architecture: Is there a
central store of conceptual structures to which both the
linguistic and visual systems have common access? Is the
linguistic system "piggybacking" on the visual system ? i.e.
are the conceptual structures underlying linguistic meanings
formed from mental resources whose "original" function is
perceptual? Or are there instances of "perceiving for
speaking" ? i.e. is the visual system in some cases attending
to certain information solely because the linguistic system
requires it (as Annette Herskovits has suggested)?

Geoff Simmons

Geoff Simmons received a Master's degree in Computer Science
and Linguistics at the University of Hamburg in 1992. He is
presently completing a dissertation entitled "Knowledge of
Shape in Object Concepts" at the Doctoral Program in
Cognitive Science, University of Hamburg.

Analogical Reasoning:
Psychological Data and Computational Models
Boicho Kokinov (NBU, Bulgaria)

The course will focus on analogical reasoning in problem
solving. All main aspects of problem solving will be
considered: problem representation, base retrieval, mapping,
transfer, evaluation, and learning. A brief review of
psychological data on all those subprocesses will be
presented. Several models of analogy-making will be discussed
in more detail: Gentner's Structure-Mapping Engine; Holyoak
and Thagard's ACME and ARCS; Hofstadter, Mitchell and
French's Copycat and Tabletop; and the lecturer's model -
AMBR. The course will focus on the integration of various
constraints (structural, semantic, and pragmatic) on analogy-
making; on the integration and interaction of various
subprocesses (representation, retrieval, mapping, and
transfer) in analogy; on the relations between analogy and
perception, memory, reasoning, and learning; on the dynamic
context-sensitive nature of the analogy-making process.

Boicho Kokinov

Boicho Kokinov graduated in Mathematics and Computer Science
at Sofia University. He works in the field of cognitive
modeling. His main interests are in modeling human memory and
reasoning (especially analogical and diagrammatic reasoning).
He has proposed an emergent hybrid cognitive architecture,
DUAL, and several models on its basis. He is interested also
in running psychological experiments and comparing their
results with the data obtained from simulation experiments.
He leads a research project on Context effects on High-level
Cognition. He is the Director of the Cognitive Science
Program at the New Bulgarian University and a research fellow
at the Institute of Mathematics of the Bulgarian Academy of
Sciences. He is the President of the Bulgarian Cognitive
Science Society.

Philosophy of Mind
Lilia Gurova (NBU, Bulgaria)

The aim of the course is to present classical philosophical
problems and their relation to cognitive science. The mind-
body problem, the problem of intentionality and so called
qualia (also known as secondary properties or qualities) will
be discussed both in a historical perspective and from the
standpoint of the contemporary cognitive science
methodology.It is not to be expected that cognitive
scientists will solve all these problems once and
forever,probably they will not be able even to propose any
principally new solution. Philosophical problems are not the
kind of problems cognitive science must deal with. Their role
for cognitive science as well as for the other scientific
disciplines is different. Philosophical problems, taken with
their possible solutions must be regarded as patterns of
typical and important problem situations which all scientific
research may be faced with. Knowledge about these typical
situations could be useful for making optimal decisions in
every concrete problem situation.

Lilia Gurova

Lilia Gurova has a Master's degree in Electronics (Technical
University of Sofia, 1981) and Ph.D. in Philosophy of Science
(Institute of Philosophy - Bulgarian Academy of Sciences,
1988). Her Ph.D. thesis is devoted to the frame problem of AI
methodology. Now the role of problems (and/or questions) in
the organisation of human thinking is the major theme of her
scientific investigations. This theme is the point of
converging of her interests in history, philosophy and the
methodology of science, logic, philosophy of mind and
cognitive science.

Lilia Gurova is a research fellow at the Institute of
Philosophical Sciences of the Bulgarian Academy of Sciences
and a lecturer at NBU for the courses "Philosophy of Mind"
and "Thinking and Computation: A History of Ideas".

Emotion and Cognition
Cristiano Castelfranchi (CNR, Italy)

After 15 years of debate about the cognitive or pre-cognitive
nature of Emotions (see also the birth of a journal on
Cognition and Emotion), after other studies in Cognitive
Science (philosophy, linguistics, etc.) about emotions
analysis and categorisation, after new studies about
emotional development, expression, cultural relativity,
biological and social functions, and after the emergence of
computational approaches to Emotions, both to model emotional
process and the impact of emotions on action and motivation,
and after the introduction of emotional features in H-C
interaction, some of the main problems of the relationship
between Emotion and Cognition and of the model of emotional
mental states and process, are relatively clearer.

The course will review the contributions of Psychology and AI
to the understanding of emotions (especially the debate on
Cognition and Emotion). In particular, the course will focus
on the cognitive structure of emotions: a) which kind of
beliefs are necessary ingredients of emotion and determine
its activation and its character (intentionality,
appropriateness, subjective appraisal, social evaluation,
etc.); how they are organised; how are they related with
emotional goals and behaviours. b) which kind of goals are
necessary ingredients of emotional states; how they are
related with the "conative/motivational" aspect of Emotions;
how they are related with the biological or social functions
of Emotion. This structural analysis will be carefully
applied to the "anatomy" of some very relevant social
emotions: envy, shame, guilt, etc., trying to precisely
identify a typical structure of beliefs and goals, and trying
to justify such a structure also in terms of moves to induce
a specific emotion or moves to inhibit or avoid it.

Cristiano Castelfranchi

Cristiano Castelfranchi took a degree in Letters, with a
dissertation on the representation of meaning. He is a
researcher at the Institute of Psychology of the National
Research Council of Italy. From 1966 to 1976 his main
interests included generative semantics, speech acts, and
conversation. He subsequently moved on to a computational and
A.I. approach to language, developing, together with O. Stock
and D. Parisi, models of parsers with a semantic output, and
models of hybrid knowledge representation. During the same
period he developed, together with D. Parisi, M. Miceli and
R. Conte, a model of communicative and social behavior in
terms of goals. His analysis has addressed in particular:
power, dependence, interest, and exchange relationships;
influencing behavior, goal adoption, and deception; the role
played by image and self-image in social interactions, and
emotions such as envy, shame, guilt, pity, and ridicule. He
is the head of the Project for the Simulation of Social
Behavior at IP-CNR that is aimed at constructing a model of
an autonomous agent capable of social interaction by merging
both AI and cognitive studies. He has been the Head of the
Social Psychology Division and the "AI & Social Interaction"
Division of IP/CNR. Castelfranchi is the author of 9 books on
topics in Language, Emotion and Multi-Agent Modelling. He is
a member of the Editorial Board of the Italian journal of AI
and Cognitive Science "Sistemi Intelligenti".


Housing and Fees

Housing possibilities

The Organizing Committee has been able to sign contracts with
a hotel and two student hostels/dormitories and is able to
provide accommodation at very favorable prices. However, the
participants have to pay the whole sum in advance to the
organizing committee. This fee includes accommodation and
full board for the period July 2 - 16, as well as
participation in all courses, participant symposia, panel
discussions, student sessions. We have the following
possibilities for accommodation all of them within walking
distance from the School venue.

Residence Full fee
- 3* hotel(single room)+full board+registration fee USD 740
- 3* hotel (double room)+full board+registration fee USD 470
- student hostels + full board + registration fee USD 290

Financial Support

The Organizing committee has some VERY limited possibilities
for partial financial support of participants from Eastern
and Central Europe. We strongly advise potential participants
to look for other funding possibilities.

Methods of Payment

Bank transfer to: New Bulgarian University - CogSci95,
Bank account 940-110-929-6711, Bulgarian Post Bank,
1, Bulgaria Blvd., Sofia, Bulgaria. (transfer fees prepaid).
Check made payable to New Bulgarian University (add USD10
processing fees)
Pay in cash (in USD only) at on site registration, in
this case add USD50 for late registration.

Cancellations and Reimbursement

If you cancel your registration before June 15 you will be
refunded with a 15% reduction, afterwards no refunding will
be possible.

Timetable

As we have received a huge number of inquiries about the
Summer School and the number of participants in the Summer
School is limited, the applications will be served on a
first-come-first-served basis. So, please register (and make
the due payments) as soon as possible.

Send your Registration Form as soon as possible to:
CogSci95
Cognitive Science Department
New Bulgarian University
21, Montevideo Str.
Sofia 1635, Bulgaria
e-mail: cogsci95@adm.nbu.bg

International Summer School in Cognitive Science
Sofia, July 3-14, 1995

Registration Form

Last Name:

First Name:

Status: Professor / Academic Researcher / Applied Researcher
/ Graduate Student / Undergraduate Student

Affiliation:

University:

Department:

Country:

Mailing address:



e-mail address:

fax:

I intend to submit a paper: (yes/no/title)


I am registering for the following courses:


I am registering for the following housing option:
- 3* hotel(single room)+full board+registration fee USD 740
- 3* hotel (double room)+full board+registration fee USD 470
- student hostels + full board + registration fee USD 290

Method of payment:
- I have made a bank transfer (transfer fees should be
prepaid)
- I am enclosing a check payable to New Bulgarian University
(add USD10 to cover the processing fee)
- I will pay in cash on site (add USD50 for late
registration)
- I am from Eastern/Central Europe and I would like to apply
for partial financial support


Signature:

------------------------------

End of VISION-LIST digest 14.12
************************

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