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VISION-LIST Digest Volume 13 Issue 03

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VISION LIST Digest
 · 11 months ago

VISION-LIST Digest    Mon Jan 24 11:01:09 PDT 94     Volume 13 : Issue 3 

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Today's Topics:

Looking for speaker on unstructured 3d image reconstruction
Solving inverse diffusion problems
scaling of 2-d binary images (response summary)
Re: solving one system AX=XB
Detecting anomalies in images of printed circuit boards
CCITT G4 Compression: Where can I get info?
Looking for Range Image Segmentation
Interested in image processing
Video digitizer
Doctoral student sought
Technical Report: Gesture Recognition
17th European Conference on Visual Perception
ECCV-94: PROGRAM and REGISTRATION
CFP: Australian Joint Conference on Artificial Intelligence (AI'94)
PCS 94 reminder - summaries due February 1
AI Genealogy [LONG]

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

Date: Wed, 19 Jan 94 20:35:21 -0600
From: dmeglan@merle.acns.nwu.edu (Dwight Meglan)
Subject: Looking for speaker on unstructured 3d image reconstruction

I am helping to organize a conference on human movement analysis. I've
been using motion analysis systems in this area for a number of years.
The most popular commercial systems all use some type of predefined markers
(though sometimes identification is done after the data is recorded) which
are tracked in several cameras and 3d position and orientation is computed
from this finite set of points.

Over the last several years I have been following (more like casually
watching :) the developments in machine vision of reconstructing 3d scenes
without the benefit of these predefined points. We would like to find a
suitable speaker to give a talk on this to introduce the area to
biomechanics researchers.

I have looked over what articles I have and have found a large number of
authors. Unfortunately, we can only ask one person to speak. So, I would
like to solicit opinions from those on the VISION-LIST on who would be an
appropriate speaker for this topic.

Thank you for your help, dwight

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

Date: Fri, 21 Jan 94 21:58:49 EST
From: pbreuer@math.clemson.edu (Philip Breuer)
Subject: Solving inverse diffusion problems
Content-Length: 637
Status: R

I am looking for information regarding solving inverse diffusion problems.
I am having trouble locating any information or research on the matter. Can
you please help? Any suggestions of articles, books, or authors would be
greatly appreciated.
This problem is similar to vision and recognition problems in ai. It involves
taking a reading of some point sources that are weak and have suffered much
diffusion. The goal is to use the duffuse image, make a resolution cut of the
image, and be able to somehow tell the location and intensities of the source
causing the reading.


Thanks,

Philip J. Breuer
pbreuer@math.clemson.edu

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

Date: 18 Jan 1994 15:32:10 -0800
From: Pervez Mohta <pmohta@clyde.ICS.UCI.EDU>
Organization: UC Irvine, Department of ICS
Subject: scaling of 2-d binary images (response summary)

In response to my query about scaling 2-d binary images, I have
got one concrete suggestion so far from Dave (Thanks, Dave). Since I had
indicated that I would summarize my responses, the article is included
below. I still encourage people to send me replies at pmohta@ics.uci.edu.

-- pervez.
pmohta@ics.uci.edu

From: Dave Coombs <coombs@cme.nist.gov>

Look up image transformations in a vision or image processing book
(eg, Ballard and Brown, Duda and Hart, Levine, Horn...). A good
example is to think about rotating an image. The key is to ask what
neighborhood in the source image contains the information that best
determines the value of a pixel in the destination image, rather
than vice versa. Constrained domains with limited feature types
allow algorithms that can do a better job by being a little clever
(eg, with sub-pixel interpolation).

best luck,
dave

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

Date: 20 Jan 1994 19:24:17 GMT
From: zot@bellman.math.kth.se (The flyin'saucepan)
Organization: /etc/organization
Subject: Re: solving one system AX=XB

>From: Chokri BENAMAR <Chokri.BENAMAR@lai1.univ-lyon1.fr>
>Subject: solving one system AX=XB
>
>I need to solve a system AX=XB where :
>A,B and X are three matrix of size (4,4).The unknown is X.
>I can have (A1,B1), (A2,B2) and eventually (A3,B3) wich verify the equation.
>Are there any codes (in C if possible) to find the unique solution X. ?
>
>In fact, This problem of resolving the system AX=XB is derived from the
>problem of camera-to-robot calibration. In fact i have a camera mounted
>in the end hand of a robot and i search the position and the orientation
>of the camera with respect to robot wrist frame.

All I know is that equation is a particular case of what they call
"Diophantus Equations" or something like that (in Italian: Equazione Diofantea
from the Greek mathematician Diofanto - Diophant in English ? )

The general case is AX+XB=C with A,B,C,X matrices of proper dimention (not
only square ). Solving the omogeneous form should be in some book of
advanced matrix computation. In general, something about them can be found,
I think. However, what I thought as a possible solution is:

1) Write the equation like this:
[ A I ] [ X 0 ] [ I] = 0
[ 0 X ] [-B]

2) Calculate Ker([ A I ]) and put vectors in the matrix [ A1 ] that is 8x4
[ A2 ]

3) So there will be some 4x4 matrix Z such that:

[ X 0 ] [ I] = [ A1 ] Z
[ 0 X ] [-B] [ A2 ]

4) Write that equation like this:

X = A1 Z ; -B X = A2 Z

5) Solve for Z the following

-B A1 Z = A2 Z

6) Take X out of 4)

This is what I thought reading your stuff, I don't know if it works and of course
I didn't check that the matrix involved in the solution of 5) is invertible.

Just an innocent evening try.
Paolo

The immigrant % Paolo Zotti
guy at KTH % zotti@math.kth.se
from Padova % zot@veronica.dei.unipd.it
"Hello! I'm from the Department of Redundancy Department."

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

Date: Thu, 20 Jan 94 13:17:43 -0500
From: keck@uvm-gen.EMBA.UVM.EDU
Subject: Detecting anomalies in images of printed circuit boards

I am looking at a project involved in detecting anomalies in complex
patterns (i.e. images of printed circuit boards) and would be interested
in hearing about any papers or other literature on this subject
(or persons involved in this area) that you may know of.

Thanks,

Karl Moody

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

Date: 19 Jan 94 04:39:29 GMT
From: gt7417a@prism.gatech.edu (HYCHE,MARTIN ERIC)
Organization: Georgia Institute of Technology
Subject: CCITT G4 Compression: Where can I get info?

I need to get information on CCITT Group 4 compression. Ideally, I'd
like a text file I can ftp off the net, but if someone knows of an
article or book which describes the compression algorithm, that would
be most helpful also.

I am working with some TIFF images and the TIFF documentation does not
describe the compression algorithm in sufficient detail.

Thank you very much!

Eric Hyche
gt7417a@prism.gatech.edu
-or-
eric@eedsp.gatech.edu

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

Date: Fri, 21 Jan 94 12:19:47 EST
From: koh@cat.syr.edu (Jean Koh)
Subject: Looking for Range Image Segmentation

Hi!
I am looking for source codes for range image segmentation.
For example, A.K. Jain's work(MSU), Ramesh Jain's (UM), Nevatia (USC), etc.
I would like to use it to compare the performances of my work with
other people. Actually it's for the performance evaluation for my
Ph.D. thesis.

Or if you know something else in public domain like the implementations of
split-and-merge or simple intensity or range image segmentation algorithms,
please let me know how to get those.
Thanks in advance.

-Jean Koh
Dept. of ECE
Syracuse University
koh@cat.syr.edu

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

Date: 20 Jan 94 10:33:43 CDT
Subject: Interested in image processing
From: fishy@vax2.winona.msus.edu
Organization: Winona State University

Hello,
Beginning this Spring quarter I will be doing research on digital image proc-
essing and pattern recognition. The project I will be working on will exame
ppultruded fiber reinforced rods. The program is to consist of an examination
of the rod end to check for fiber distribution as well as the presence of
voids. In addition to this the program must also examine the surface of a
flat section of composite to determine the mean fiber lenght and direction in
which the fibers are orientated. While I have done little reasearch in this
field, as of yet, I would greatly appreciate any advice, useful subroutines
(in C or FORTRAN), or any references to useful books or articles.

Thank you,
fishy@vax2.winona.msus.edu
Brett Weishalla
fishy@vax2.winona.msus.edu
Composite Materials Engineering
Winona State University

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

Date: Thu, 20 Jan 1994 15:47:33 GMT
From: gil@cui.unige.ch (GIL Sylvia)
Organization: Geneva University, Switzerland
Subject: Video digitizer

Hi everyone,

I would be interested in digitizing image sequences acquired with
a video device (U-matic, VHS or HVHS). I am interested in grabbing
each image separately, that is (in Europe) 25 images/second.
The equipment available in our laboratory is the following:
- 486 PC with a Magic Matrox card;
- One-inch Video Tape;
- VHS and U-matic video recorder;
- Live Video Digitizer.
Our main problem is to obtain still images, stabilized enough
to allow digitization. We can do it, but only with a fairly
complex an expensive equipment that we have to borrow each
time; also, it take ages to do it.

We are looking for some cheaper and simpler device, even if
the quality is somehow degraded. Do you have such equipment?
Could you please describe it and tell me how easy/difficul
it is to use it?

Thanks in advance.

Sylvia Gil

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

Date: Mon, 17 Jan 94 13:16:41 -0700
From: sobh@wingate.cs.utah.edu (Tarek Sobh)
Subject: Doctoral student sought

UNIVERSITY OF UTAH
COMPUTER SCIENCE DEPARTMENT

AASERT Award Graduate Student


Applications are solicited from outstanding prospective doctoral
students in the area of:

DISCRETE EVENT SYSTEMS

One student will be selected for financial support under the
ARPA Research Augmentation Awards for Science and Engineering Research
Training (AASERT) program.

The AASERT Award provides a yearly (12 month) stipend of \$15,000,
plus tuition and fees. Awards will be made for one year of support,
with possible extension for two more years based on progress made
in the first year.

Students supported by the AASERT program must be U.S. citizens or
nationals of the United States.

Specially encouraged to apply are members of groups underrepresented
among U.S. citizens holding advanced degrees in science and engineering,
including ethnic minorities, women, and persons with disabilities.

The research area targeted is Discrete Event Systems (DES).
The research fellow will develop new strategies and carry out
implementations involving DES modeling for systems within one or more of
the following domains: Sensing for Advanced Manufacturing, Vision-based
Robotics, Autonomous Agent Modeling, Control Theory, Assembly and Planning,
Concurrency Control, Hierarchical Control, Autonomous Observation Under
Uncertainty, Multimedia, and Real-Time Operating Systems.

The starting date is flexible, but we'd like to fill the position as soon
as possible.


How to apply:

Preliminary applications should be directed to (inquiries should refer to the
AASERT award in DES):


Tarek Sobh or Tom Henderson
Computer Science Department - 3190 MEB
University of Utah

sobh@cs.utah.edu or tch@cs.utah.edu

The preliminary application should consist of:
-- A statement of purpose, including research goals.
-- C.V. of the student.
-- Transcripts from undergraduate and graduate schools, and GRE subject
and general scores (if available).

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

Date: Mon, 17 Jan 1994 20:18:01 -0500
From: James Davis <jdavis@cs.ucf.edu>
Subject: Technical Report: Gesture Recognition

The following Technical Report is available via anonymous ftp from
eustis.cs.ucf.edu (132.170.108.42). The report is in
/pub/tech_paper/gesture.ps.Z.


Gesture Recognition
James Davis and Mubarak Shah

Computer Vision Laboratory
Computer Science Department
University of Central Florida
Orlando, FL 32816


Abstract
This paper presents a method for recognizing human-hand gestures using
a model-based approach. A finite state machine is used to model
four qualitatively distinct phases of a generic gesture. Fingertips are
tracked in multiple frames to compute motion trajectories. The
trajectories are then used for finding the start and stop position of the
gesture. Gestures are represented as a list of vectors and are then
matched to stored gesture vector models using table lookup based on vector
displacements. Results are presented showing recognition of seven
gestures using images sampled at 4Hz on a SPARC-1 without any special
hardware. The seven gestures are representatives for actions of
Left, Right, Up, Down, Grab, Rotate, and Stop.

(A short version of this work will appear in ECCV-94 and a long
version in the journal: Vision, Image and Signal Processing.)

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

Date: Mon, 24 Jan 94 09:48:33 EST
From: CVNET%YORKVM1@vm.utcc.utoronto.ca
Subject: CVNet- 17th ECVP

ANNOUNCEMENT and CALL FOR PAPERS

17th European Conference on Visual Perception

Eindhoven, The Netherlands, 4-8 September 1994

Topics: early visual processing, high-level vision, applied psychophysics,
development and aging, spatial vision, brightness and lightness, colour
perception, perception of motion, electrophysiology and clinical research,
attention, visual search and eye movements, shape, texture and depth, and
learning and memory. As a special topic a mini symposium on the perception of
complex images will be held. It deals with visual information problems that
need to be solved for a proper interpretation and display of the complex images
that occur in today's world. This is relevant for applications such as
robotics, and
for the optimization of the quality of pictures on TV, video, computer graphics
and alpha-numerical display stations.

Communications are invited from all branches of visual science, and are not
restricted to the above-mentioned topics. They should present original,
unpublished and substantive research and must be submitted in triplicate by 28
February 1994. Abstracts should not exceed 300 words, and should have a short
header giving the title, the authors' name(s) and address.

Accommodation will be avaiable in the `Koningshof' hotel and congress centre in
Veldhoven, a suburb of Eindhoven. Participants will reside and hold their
conference in the same building. Registration should be before 28 February
1994. Participants should contact the conference bureau (tel.:
+31-40-474849/474000; fax: +31-40-458195) quoting the reference "ECVP94".

Organizing committee: Jacques Roufs, Huib de Ridder, Frans Blommaert and
Jean-Bernard Martens, Institute for Perception Research (IPO), P.O. Box 513,
5600 MB Eindhoven, The Netherlands, Fax: +31-40-773876.

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

Date: Wed, 19 Jan 1994 09:43:04 +0100
From: Stefan.Carlsson@bion.kth.se
Subject: ECCV-94: PROGRAM and REGISTRATION

ECCV - 94

THIRD EUROPEAN CONFERENCE
ON COMPUTER VISION

2-6 May 1994, Stockholm, Sweden

PROGRAM and REGISTRATION FORM

GENERAL PRESENTATION

The Third European Conference on Computer Vision is an international
conference devoted to recent research in computer vision and it will
take place in Stockholm, Sweden 2 - 6 May 1994. The conference is
followed by three workshops organized by members of the ESPRIT Basic
Research Action on Machine Vision on Sat. 7 May.

The conference is divided into

Oral Presentation Sessions
Poster Sessions
Open Sessions (see below)
Industrial Exhibition

In parallel to the poster sessions participants are invited to briefly
present recent results not appearing in the official program. These
presentations could be accompanied by short videos. Those interested
can sign up for these open sessions during the conference. A separate
room will be allocated. During the conference an Industrial Exhibition
will take place. Companies interested in displaying their products are
welcome to contact the Scientific Secretariat (address see below).

Conference Secretariat Scientific Secretariat

ECCV 94 Professor Jan-Olof Eklundh
c/o Stockholm Convention Bureau KTH, NADA
Box 6911 S-100 44 Stockholm, Sweden
S-102 39 Stockholm, Sweden Telephone: + 46 8 790 81 61
Telephone: +46 8 736 15 00 Telefax: + 46 8 723 03 02
Telefax: +46 8 34 84 41 Email: eccv94@bion.kth.se


Conference Venue

City Conference Centre, Norra Latin
Drottninggatan 71 B
S-111 36 Stockholm, Sweden
Telephone: + 46 8 791 66 00
Telefax: + 46 8 723 09 23


MONDAY MAY 2

18:00 - 20:00 Registration and Welcome Reception

TUESDAY MAY 3

08:00 Registration

08:45 - 09:00 Welcome and Opening

09:00 - 10:35 GEOMETRY AND SHAPE I

Evolutionary fronts for topology-independent shape modeling and
recovery
R. Malladi, J. Sethian, B. Vemuri

Epipolar fields on surfaces
P. Giblin, R. Weiss

Stability and likelihood of views of three dimensional objects
D. Weinshall, M. Werman, N. Tishby

Topological reconstruction of a smooth manifold-solid from its
occluding contour
L.R. Williams

10:35 - 11:00 COFFEE BREAK

11:00 - 12:30 OPTICAL FLOW AND MOTION FIELDS

Optical flow estimation: advances and comparisons
M. Otte, H.-H. Nagel

Multiple constraints for optical flow
M. Tistarelli

Motion field of curves: applications
T. Papadopoulo, O. Faugeras

Sufficient image structure for 3-D motion and shape estimation
S. Carlsson

12:30 - 14:00 LUNCH


14:00 - 15:40 EXHIBITION
OPEN SESSION
COFFEE 15:00

POSTER SESSION 1
IMAGE FEATURES

A comparison between the standard Hough transform and the Mahalanobis
distance Hough transform
C. Xu, S.A. Velastin

Junction classification by multiple orientation detection
M. Michaelis, G. Sommer

Following corners on curves and surfaces in scale space
B. Vasselle, G. Giraudon, M. Berthod

Scale-space properties of quadratic edge detectors
P. Kube, P. Perona


MOTION AND FLOW

A scalar function formulation for optical flow
A. Amini

First order optic flow from log-polar sampled images
H. Tunley, D. Young

Recursive non linear estimation of discontinous flow fields
M. Black

The use of optical flow for the autonomous navigation
A. Giachetti, M. Campani, V. Torre

An image motion estimation technique based on a combined statistical
test and spatiotemporal generalized likelihood ratio approach
F. Germain, T. Skordas


MOTION SEGMENTATION AND TRACKING

Independent motion segmentation and collision prediction for road
vehicles
D. Sinclair, B. Boufama

An MRF based motion detection algorithm implemented on analog
resistive network
F. Luthon, G.V. Popescu, A. Caplier

Occlusion ambiguities in motion
D. Geiger, K. Diamantaras

A robust tracking of 3D motion
P. Nesi, A. Borri

Robust multiple car tracking with occlusion reasoning
D. Koller, J. Weber, J. Malik


EGO-MOTION AND 3D RECOVERY

Recovery of ego-motion using image stabilization
M. Irani, B. Rousso, S. Peleg

Shape from motion algorithms: a comparative analysis of scaled
orthography and perspective
B. Boufama, D. Weinshall, M. Werman

Robust egomotion estimation from affine motion parallax
J. Lawn, R. Cipolla

Integrated 3D analysis of flight image sequences
S. Sanghoon, N. Ahuja

Recursive affine structure and motion from image sequences
P.F. McLauchlan, I.D. Reid, D.W. Murray

Shape models from image sequences
X. Shen, D. Hogg

Vibration modes for nonrigid motion analysis and animation in 3D
images
C. Nastar


15:40 - 17:30 RECOGNITION I

Applying VC-dimension analysis to object recognition
M. Lindenbaum, S. Ben-David

Extraction of groupings for recognition
F. Stein, G. Medioni, P. Havaldar

Constraint-fusion for localization and interpretation of constrained
objects
Y. Hel-Or, M. Werman

Seeing behind occlusions
D.H. Ballard, R.P. Rao

Face recognition: the problem of compensating for changes in
illumination direction
Y. Moses, Y. Adini, S.Ullman


18:30 Stockholm City Hall Reception

WEDNESDAY MAY 4

08:45 - 10:35 SHAPE MODELLING

Learning flexible models from image sequences
A. Baumberg, D. Hogg

A direct recovery of volumetric models in range images using recover-
and-select paradigm
A. Leonardis, F. Solina, A. Macerl

Segmentation and recovery of SHGCs from a real intensity image
M. Zerroug, R. Nevatia

Recognizing hand gestures
J. Davis, M. Shah

Pose refinement of active models using forces in 3D
A. Worrall, G. Sullivan, K. Baker

10:35 - 11:00 COFFEE BREAK


11:00 - 12:30 SHAPE ESTIMATION

Recovering surface curvature and orientation from texture
distortion: a least squares algorithm and sensitivity analysis
J. Malik, R. Rosenholtz

Direct estimation of local surface shape in a fixating binocular
vision system
J. Garding, T. Lindeberg

Deriving orientation cues from stereo images
L. Robert, M. Hebert

Shape-adapted smoothing in estimation of 3-D depth cues from affine
distortions of local 2-D structure
T. Lindeberg, J. Garding

12:30 - 14:00 LUNCH


14:00 - 15:40 EXHIBITION
OPEN SESSION
COFFEE 15:00

POSTER SESSION 2

GEOMETRY AND SHAPE II

Three dimensional symmetry from two dimensional data
H. Zabrodsky, D. Weinshall

Consistency and correction of line-drawings, obtained by projections
of piecewise planar objects
A. Heyden

On the enumerative geometry of aspect graphs
S. Petitjean

Geometry-driven curve evolution
P. Fiddelaers, E.J. Pauwels, M. Proesmans, L.J. Van Gool, T. Moons

Quantitative measurement of manufactured diamond shape
R. Hartley, A. Noble, J. Grande, J. Liu

Hierarchial shape representation using locally adaptive finite
elements: a model-based approach
E. Koh, D. Metaxas, R. Badler


CALIBRATION AND MULTIPLE VIEWS

Camera calibration from spheres images
N. Daucher, M. Dhome, J-T. Lapreste

Self calibration of a stereo head mounted onto a robot arm
R. Horaud, F. Dornaika, B. Boufama, R. Mohr

Analytical methods for uncalibrated stereo and motion reconstruction
J. Ponce, D.H. Marimont, T.A. Cass

Euclidean reconstruction from uncalibrated views
R. Hartley

Relative affine structure and the trilinearity result
A. Shashua

What can two images tell us about a third one?
O. Faugeras, L. Robert

RECOGNITION II

A robust method for road sign detection and recognition
G. Piccioli, E. De Micheli, M. Campani

Pose determination and recognition of vehicles in traffic scenes
T. Tan, G. Sullivan, K. Baker

Performance evaluation of ten variations on the interpretation-tree
matching algorithm
R.B. Fisher

Recognition of human facial expressions without feature detection
K. Matsuno, C-W. Lee, S. Tsuji

A trainable tool for finding small volcanoes in SAR imagery of Venus
M.C. Burl, U.M. Fayyad, P. Perona, P. Smyth, M.P. Burl

Pulsed neural networks and perceptive grouping
D. Derou, L. Herault

Projective invariants for planar contour recognition
M. Van Diest, L. Van Gool, T. Moons, E. Pauwels

Divided we fall: Resolving occlusions using causal reasoning
P. Cooper, L. Birnbaum, D. Halabe


15:40 - 17:30 STEREO AND CALIBRATION

Camera calibration of a head-eye system for active vision
M. Li

Linear pushbroom cameras
R. Hartley, R. Gupta

Robust recovery of the epipolar geometry for an uncalibrated stereo rig
R. Deriche, Z. Zhang, Q.-T. Luong, O. Faugeras

A stability analysis of the fundamental matrix
Q.-T. Luong, O.D. Faugeras

Canonic representations for the geometries of multiple projective views
Q.-T. Luong, T. Vieville


THURSDAY MAY 5


08:45 - 10:35 ACTIVE VISION I


Active object recognition integrating attention and viewpoint control
S. J. Dickinson, H.I. Christensen, J. Tsotsos, G. Olofsson

Active 3D object recognition using 3D affine invariants
S. Vinther, R. Cipolla

Visually guided grasping in 3D
M.J. Taylor, A. Blake

Visual tracking of high DOF articulated structures: An application
to human hand tracking
J. Rehg, T. Kanade

Integration and control of reactive visual processes
J.L. Crowley, J.M. Bedrune, M. Bekker, M. Schneider



10:35 - 11:00 COFFEE BREAK

11:00 - 12:30 MOTION AND STRUCTURE

Recursive motion estimation on the essential manifold
S. Soatto, R. Frezza, P. Perona

Motion from point matches using affine epipolar geometry
L.S. Shapiro, A. Zisserman, J.M. Brady

Navigation using affine structure from motion
P. Beardsley, A. Zisserman, D. Murray

A paraperspective factorization method for shape and motion recovery
C. Poelman, T. Kanade

12:30 - 14:00 LUNCH


14:00 - 15:40 EXHIBITION
OPEN SESSION
COFFEE 15:00

POSTER SESSION 3

ACTIVE VISION II

Active camera self-orientation using dynamic image parameters
V. Sundareswaran, P. Bouthemy, F. Chaumette

Planning the optimal set of views using the max-min principle
J. Maver, A. Leonardis, F. Solina

On perceptual advantages of eye-head active control
E. Grosso

Occluding contour detection using affine invariants and purposive
veiwpoint control
K.N. Kutulakos, C.R. Dyer

Autonomous exploration: driven by uncertainty
P. Whaite, F.P. Ferrie



MATCHING AND REGISTRATION

Improving registration of 3-D medical images using a mechanical based
method
G. Malandain, S. Fernandez-Vidal, J-M Rocchisani

Non-iterative contextual correspondence matching
W. Christmas, J. Kittler, M. Petrou

A registration method for rigid objects without point matching
Y. Kita

Non-parametric local transforms for computing visual correspondence
R. Zabih, J. Woodfill

Measuring the affine transform using gaussian filters
R. Manmatha

Extracting the affine transformation from texture moments
J. Sato, R. Cipolla

Lack-of-fit detection using the run distribution test
A.W. Fitzgibbon, R.B. Fisher

Disparity-space images and large occlusion stereo
S.S. Intille, A.F. Bobick

Registration of a curve on a surface using differential properties
A. Gourdon, N. Ayache

Genetic algorithms applied to binocular stereovision
R. Vaillant, L. Gueguen


SEGMENTATION AND RESTORATION

Segmentation of echocardiographic images with markov random fields
I.L. Herlin, D. Bereziat, C. Nguyen, G. Giraudon, C. Graffigne

Unsupervised regions segmentation: Real time control of an upkeep
machine of natural spaces
M. Derras, C. Debain, M. Berducat, B. Ponton, J. Gallice

Synchronous random fields and image restoration
L. Younes

Parameterfree information-preserving surface restoration
U. Weidner


ILLUMINATION

Spatially varying illumination: A computational model of converging
and diverging sources
M. Langer, S Zucker

Adaptive polynomial modelling of the reflectance map for shape
estimation from stereo and shading
D. Hougen, N. Ahuja


15:40 - 17:30 SHADING AND COLOUR

Recovery of illuminant and surface colors from images based on the
CIE daylight
Y. Ohta and Y. Hayashi

3-D stereo using photometric ratios
L.B. Wolff, E. Angelopoulou

Shape from shading: provably convergent algorithms and uniqueness
results
P. Dupuis, J. Oliensis

Seeing beyond Lambert+s law
M. Oren, S.K. Nayar

Using 3-dimensional meshes to combine image-based and geometry-based
constraints
P. Fua, Y.G. Leclerc


19:30 Conference Dinner

FRIDAY MAY 6

08:45 - 10:35 MOTION SEGMENTATION

Determination of optical flow and its discontinuities using non-
linear diffusion
M. Proesmans, L.J. Van Gool, A. Oosterlinck

Motion boundary detection in image sequences by local stochastic
tests
H.-H. Nagel, G. Socher, H. Kollnig, M. Otte

Segmentation of moving objects by robust motion parameter estimation
over multiple frames.
S. Ayer, P. Schroeter, J. Bigun

Stochastic motion clustering
P.H.S. Torr, D.W. Murray

Association of motion verbs with vehicle movements extracted from
dense optical flow fields
H. Kollnig, H.-H. Nagel, M. Otte


10:35 - 11:00 COFFEE BREAK

11:00 - 12:30 FEATURE-EXTRACTION

Comparisons of probabilistic and non-probabilistic hough transforms
H. Kalviainen, P. Hirvonen, L. Xu and E. Oja

Markov random field modeling in computer vision
S.Z. Li

The role of key-points in finding contours
O. Henricsson, F. Heitger

A framework for low level feature extraction
W. Forstner

12:30 - 14:00 LUNCH

14:00 - 15:30 REGISTRATION AND RECONSTRUCTION

Rigid and affine registration of smooth surfaces using differential
properties
J. Feldmar, N Ayache

The quadric reference surface: Applications in registering views of
complex 3D objects
A. Shashua, S. Toelg

Relative 3D regularized B-spline surface reconstruction through
image sequences
C.S. Zhao, R. Mohr

Intrinsic stabilizers of planar curves
H. Delingette

15:30 - 16:00 COFFEE BREAK

16:00 - 17:30 GEOMETRY AND INVARIANTS

Affine and projective normalization of planar curves and regions
K. Astrom

Area and length preserving geometric invariant scale- spaces
G. Sapiro and A. Tannenbaum

Invariants of 6 points from 3 uncalibrated images
L. Quan

A common framework for kinetic depth, reconstruction and motion for
deformable objects
G. Sparr


SATURDAY MAY 7

ESPRIT Basic Research Workshops

On May 7 following the conference, a series of workshops will be
organixed by members of the ESPRIT Basic Research Action. Talks at
these workshops will be given by invited speakers. Preliminary topics
are:

New Results with Geometric Invariants
(L. Van Gool organizer)

Spatial Invariant Sensors
(G. Sandini organizer)

Neural Networks in Computer Vision
(J. Crowley organizer)

Separate registration is necessary for these workshops. For
information please contact:

James Crowley
IMAG, Institute National Polytechnique de Grenoble
46 Ave Felix Viallet, 38031 Grenoble France
Telephone: + 33 7 657 46 55
Telefax: + 33 7 657 46 02
e-mail: jlc@lifia.imag.fr


Visit to Linkoping University

On May 7 delegates are invited to visit research groups involved in
Computer Vision and Image Processing at Linkoping University,
located 200 km SW of Stockholm. Bus transportation will be organized
and interested participants are invited to contact the conference desk.


SOCIAL PROGRAM

MONDAY, May 2

Welcome Reception 18:00 - 20:00

An informal reception will be held at Norra Latin, the Conference
Centre. A light buffet will be served.

Included in the registration fee.

TUESDAY, May 3

Stockholm City Hall Reception 18:30

The City of Stockholm and the Stockholm County Council invite you to a
buffet dinner at the Stockholm City Hall, beautifully situated on the
waterfront of Riddarfjarden in central Stockholm. The City Hall is
world famous as the setting of the annual Nobel banquet.
Included in the registration fee.

THURSDAY, May 5

Conference Dinner 19:30

A Conference Dinner will be organized on Thursday May 5. For this an
extra cost of SEK 150 will be charged. (see registration form).


GENERAL INFORMATION

Conference Venue

The Conference will be held at the City Conference Centre, Norra
Latin, Drottninggatan 71 B, Stockholm Sweden. Norra Latin is a modern
conference centre situated in a beautifully renovated building of
classical architecture, located in the center of the city. Hotels and
shopping areas as well as major tourist attractions are within easy
walking distance.


Conference Bureau

The Conference Bureau will be open for registration and information as
follows:

Monday, May 2 18:00 - 20:00
Tuesday, May 3 - Friday, May 6 08:00 - 18:00


Registration and Fees

Please use the enclosed registration form when registering for the
Conference, Social Program and for making hotel reservations. Your
registration will be taken care of on a 'first come - first served'
basis. Events included in the registration fee should also be marked
on the form. Your registration for together with payment should be
sent to the secretariat, Stockholm Convention Bureau (SCB). The
registration fee covers: Admission to all Scientific Sessions,
Exhibition, Documentation, Coffeee, Welcome Reception and City Hall
Reception.

Fee received before March 15, 1994 SEK 2800 + VAT 25% = SEK 3500
Fee received after March 15, 1994 SEK 4000 + VAT 25% = SEK 5000
Students* SEK 2000 + VAT 25% = SEK 2500

* Letter from supervisor or chairman of department required.

Participants, whose fees are paid by a company or organisation,
can apply to get the VAT refunded. Necessary forms will be available
at the registration desk.


Payment

All payment should be made in Swedish Crowns (SEK) and made out to "
ECCV 94", c/o Stockholm Convention Bureau. Payment can be made by any
one of the following means:

1. A bankers' draft purchased at your bank and forwarded together with
your registration form. We regret that we are unable to accept
personal or company cheques.

2. A bank transfer made out to S-E-Banken, Stockholm, Account No 5267-
10 066 16. Swift-address ESSESESS.

3. American Express Card, Diners Club Card, MasterCard, Eurocard and
Visa cards will be accepted. Please fill in the card number and valid
date on your registration form.

4. From the Nordic countries payment
can be ent by Postal Giro 65 37 38-5. In Sweden you can also use
Bankgiro 644-8773.

Currency

(by December 17, 1993)

1 DEM = SEK 4.93
1 FRF = SEK 1.44
1 GBP = SEK 12.53
1 CHF = SEK 5.76
1 USD = SEK 8.42


Confirmation

A letter will be sent to you confirming your registration to the
Conference and hotel reservation.


Cancellation

Your cancellation has to be made in writing and sent to Stockholm
Convention Bureau, (SCB). If received before April 15, 1994, all fees,
except for cancellation charge of SEK 500, will be refunded. No
refunds will be made after April 15, 1994. For cancelling hotel
accommodation please see "Hotel Reservation".


Hotels

A number of hotel rooms in different price categories have been
reserved for the delegates of the Conference. All hotels are located
close to the City terminal where the airport buses stop and within
walking distance to the Conference venue. Your hotel reservation will
be confirmed when we have received your registration form together
with your hotel deposit. This pre-payment will be deducted from your
hotel bill when checking out on presentation of the voucher that you
will get at the registration desk. The remaining amount is to be
settled by you directly with the hotel. Since only a certain number
of hotel rooms has been reserved, we will operate on a 'first come-
first served' basis. In the event of the preferred hotel being fully
subscribed, we reserve the right to provide another available alternative.

Single room Double room
Continental SEK 1.175 SEK 1.375
Freys SEK 850 SEK 990
Wallin SEK 650 SEK 800

All rates, in SEK/night, include breakfast buffet, service and a VAT
increment of 12\%. Prices quoted by SCB, do not include any
alterations or additions to taxes or official changes not known by
December 1993.

Hotel deposit: SEK 1.375 per room

Any enquiries or requests for additional information, changes or
cancellations of room should be addressed directly to the secretariat,
Stockholm Convention Bureau (SCB).

Hotel deposits will be refunded in full provided cancellation is
received by SCB one week prior to arrival at the latest. Thereafter,
the cost for the first night of accommodation will be charged.


Documentation

The Proceedings of the conference are published by Springer-Verlag
and will be handed out to all conference participants at the beginning
of the conference.

Airport Transportation

Direct buses connect Arlanda Airport with the City terminal in central
Stockholm every 15 minutes. The trip takes about 45 minutes and costs
SEK 50. If you intend to take a taxi, several companies have a set
price between the city and the airport, SEK 250. (All prices valid in
December 1993) Airport tax is not required when leaving Sweden.

Cheques

Personal or Company cheques will not be accepted neither at the
registration desk nor at the shops in Stockholm. Traveller's cheques
are accepted by most banks in Sweden.

Credit cards

Most hotels, restaurants and shops in Stockholm accept credit cards.

Local Transportation

Stockholm has an extremely well-developed local transport system. A
Congress ticket which entitles you to unlimited travelling by
underground, buses and local trains within the whole of Stockholm
County will be sold at the registration desk. (Prices: 24 hours SEK
28, 48 hours SEK 56, 72 hours SEK 84).

Lunches

Lunches are not included in the registration fee. There are various
categories of restaurants located very close to the conference venue.

Telephones

Pay phones are available at Norra Latin, both for local and long
distance calls. Telephone cards can be bought at the Registration
desk.

Weather and Dress

Average temperature in Stockholm this time of the year is around 100
C (500F). The mid-day temperature can be substantially higher
however. Informal dress on all occasions.

Insurance

Participants are advised to insure against loss, accidents and damage
occuring during the conference. The organisers can in no way be held
responsible. If you have any questions, please do not hesitate to
contact the Conference Secretariat







ECCV - 94 REGISTRATION AND HOTEL BOOKING FORM

2 - 6 May, 1994
(Please use BLOCK LETTERS)
Stockholm, Sweden


Family name:____________________________________________________________

First name:_____________________________Title/Profession:_______________

Organisation/Company:___________________________________________________

Mailing address:________________________________________________________

________________________________________________________________________

_____________________________Country:___________________________________

Telephone:________________________Telefax:______________________________

Email:__________________________________________________________________




ADVANCE REGISTRATION


REGISTRATION FEE Price/ No. of SEK (Code)
person persons
SEK

Delegate fee received before March 15 *3.500 1 ________ (001)

Delegate fee received after March 15 *5.000 1 ________ (002)

Full time student *2.500 1 ________ (004)



SOCIAL PROGRAM

Welcome Reception, May 2 incl. _____ (055)

City Hall Reception, May 3 incl. _____ (056)

Banquet, May 5 *150 _____ ________ (057)

Please indicate all the social activities you intend to participate in.


HOTEL DEPOSIT

Per room 1.375 ________


Total SEK_______________

* Prices include VAT increment of 12-25%. SCB's VAT registration number is
01-556127-7228.

ACCOMMODATION


Arrival: _____/_____ Departure: _____/_____


________________________________________________________________
| | Single room | | Double room | |
| Hotel | SEK/night incl.| No of | SEK/night incl. | No of |
| | breakfast and | rooms | breakfast and | rooms |
| | 12% VAT | | 12% VAT | |
|___________|________________|_______|___________________|_______|
| | | | | |
|Continental| 1.175 | | 1.375 | |
|___________|________________|_______|___________________|_______|
| | | | | |
| Freys | 850 | | 990 | |
|___________|________________|_______|___________________|_______|
| | | | | |
| Wallin | 650 | | 800 | |
|___________|________________|_______|___________________|_______|


Reservations will be confirmed when Stockholm Convention Bureau has
received your hotel deposit.



PAYMENT

Payment should be made in SEK, payable to SCB. Please indicate ECCV 94
and your name on all money transfers.

_
|_| Banker's Draft (Personal or Company cheques cannot be accepted)
_
|_| Bank Account, S-E-Banken, Stockholm No. 5267-10 066 16,
SWIFT-address ESSESESS
_ _
|_| Postal Giro 65 37 38-5 |_| Bankgiro 644-8773
_ _
|_| Eurocard/Mastercard |_| Diners Club
_ _
|_| American Express |_| Visa



Charge my card No.:___________________________________________________

valid through:_______________ Total SEK:______________________________

Date:______________Signature:_________________________________________

Please return this form to:

Stockholm Convention Bureau,"ECCV 94", P O Box 6911
S-102 39 Stockholm, Sweden

(Telefax No: +46 8 34 84 41)

PLEASE DO NOT FORGET TO TAKE A COPY FOR YOUR OWN RECORD

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

Date: 18 Jan 94 04:54:48 GMT
From: ai94@fermat.une.edu.au (Artificial Intelligence Conference 1994)
Subject: CFP: Australian Joint Conference on Artificial Intelligence (AI'94)
Keywords: conference, artificial intelligence, cfp, AI94

=========
F I R S T
=========

C A L L F O R P A P E R S

Seventh Australian Joint Conference on Artificial Intelligence (AI'94)
"Sowing the Seeds for the Future"

21 - 25 November 1994

Proudly sponsored by
Microsoft Institute (principal sponsor),
IBM, Sun Microsystems, Australian Computer Society, and
Department of Mathematics, Statistics, and Computing Science (UNE).

Hosted by
Department of Mathematics, Statistics, and Computing Science
The University of New England
Armidale, N.S.W., 2351
AUSTRALIA

AI'94 is the Seventh Australian Joint Conference on Artificial
Intelligence. AI'94 is conducted under the auspices of the Australian
Computer Society's National Committee for Artificial Intelligence and
Expert Systems. The theme of the conference is "Sowing the Seeds for the
Future", which reflects the nature of research in Artificial Intelligence.
The goal of the conference is to promote research in artificial
intelligence (AI) and scientific interchange among AI researchers and
practitioners. AI'94 will be hosted by The Department of Mathematics,
Statistics, and Computing Science at The University of New England, between
Monday 21st November to Friday 25th November 1994.


PROGRAM COMMITTEE CO-CHAIR ORGANISING COMMITTEE

Dr. Chengqi Zhang (co-chair) Dr. Dickson Lukose (chair)
Prof. John Debenham (co-chair) Mr. Allan Williams (secretary)
Dr. Simant Dube (treasurer)
Mr. Neil Dunstan
Ms. Gabrielle Aldridge


We invite authors to submit papers describing both experimental and
theoretical results from all stages of AI research. In particular, we
encourage submission of papers that describe innovative concepts,
techniques, perspectives, or observations that are not yet supported by
mature results. Such submissions must include substantial analysis of the
ideas, the technology needed to realise them, and their potential impact.
Papers describing applied AI are particularly solicited. In addition,
because of the essential interdisciplinary nature of AI and the need to
maintain effective communication across sub-specialties, we encourage
authors to position and motivate their work in the larger context of the
general AI community. Topics of interest include, but are not limited to:

Machine Learning Knowledge Acquisition
Natural Language Processing Natural Language Understanding
Hybrid Systems Genetic Algorithms
Evolutionary Programming Knowledge Based Systems
Knowledge Representation Qualitative Reasoning
Automated Reasoning Planning and Scheduling
Cognitive Modelling Robotics
Vision Distributed Artificial Intelligence
Neural Network Image Analysis

Authors are invited to submit complete, original papers in the format
specified below, reflecting their current research results. All submitted
papers will be refereed for quality and originality. The program committee
reserves the right to accept submissions as either technical or poster
presentation paper. Authors must submit five (5) copies of the completed
paper to the AI'94 Conference Secretary at the following address by 15th.
June 1994.

AI'94 Conference Secretary
Department of Mathematics, Statistics, and Computing Science
The University of New England
Armidale, N.S.W., 2351
AUSTRALIA

All five (5) copies of the submitted paper must be clearly legible. Neither
computer files nor fax submission are acceptable. Papers received after the
15th. June 1994 will be returned unopened. Notification of receipt will be
mailed to the first author (or designated author) soon after receipt.


PAPER FORMAT FOR REVIEW

All five copies of the submissions must be printed on 8 1/2" x 11" or A4
paper using 12 point type (10 characters per inch for typewriters or 12
point LaTeX article-style). Double-sided printing is strongly encouraged.
The body of submitted papers must be at most 8 pages, including figures,
tables, diagrams, and bibliography, but excluding the title page. Papers
exceeding the specified length or formatting requirements are subject to
rejection without review. Each copy of the paper must have a title page
(separate from the body of the paper) containing the title of the paper,
the names and addresses of all authors, telephone number, fax number and
electronic mail address, a short (less than 200 word) abstract, and a
descriptive content area or areas. The body of the paper should have a copy
of the title and a page number on each page. To facilitate the reviewing
process, authors are requested to select appropriate content areas from the
list below. Authors are invited to add additional content area descriptors
to their title page as needed.

Artificial Life, Automated Reasoning, Behaviour-Based Control, Belief
Revision, Case-Based Reasoning, Cognitive Modelling, Common Sense
Reasoning, Communication and Cooperation, Constraint-Based Reasoning,
Computer-Aided Education, Connectionist Models, Corpus-Based Language
Analysis, Deduction, Diagnosis, Discourse Analysis, Distributed Problem
Solving, Expert Systems, Geometrical Reasoning, Information Extraction,
Knowledge Acquisition, Knowledge Representation, Knowledge Sharing
Technology, Large Scale Knowledge Engineering, Learning/Adaptation, Machine
Learning, Machine Translation, Mathematical Foundations, Multi-Agent
Planning, Natural Language Processing, Neural Networks, Nonmonotonic
Reasoning, Perception, Planning, Probabilistic Reasoning, Qualitative
Reasoning, Reasoning about Action, Reasoning about Physical Systems,
Reactivity, Robot Navigation, Robotics, Rule-Based Reasoning, Scheduling,
Search, Sensor Interpretation, Sensory Fusion/Fission, Simulation, Situated
Cognition, Spatial Reasoning, Speech Recognition, System Architectures,
Temporal Reasoning, Terminological Reasoning, Theorem Proving, Truth
Maintenance, User Interfaces, Virtual Reality, Vision, 3-D Model
Acquisition.

Each paper will be carefully reviewed. Questions that will appear on the
review form have been reproduced below. Authors are advised to bear these
questions in mind while writing their papers: How important is the work
reported? Does it attack an important/difficult problem or a
peripheral/simple one? Does the approach offered advance the state of the
art? Has this or similar work been previously reported? Are the problems
and approaches completely new? Is this a novel combination of familiar
techniques? Does the paper point out differences from related research? Is
it re-inventing the wheel using new terminology? Is the paper technically
sound? Does it carefully evaluate the strengths and limitations of its
contribution? How are its claims backed up? Is the paper clearly written?
Does it motivate the research? Does it describe the inputs, outputs and
basic algorithms employed? Does the paper describe previous work? Are the
results described and evaluated? Is the paper organised in a logical
fashion?


IMPORTANT DATES
Deadline for paper submission : 15th. June 1994
Notification of acceptance : 31st. July 1994
Camera Ready Copy : 22nd. August 1994


FURTHER INFORMATION
All enquires regarding AI'94 should be directed to the following address:

AI'94 Conference Secretary
Department of Mathematics, Statistics, and Computing Science
The University of New England
Armidale, N.S.W., 2351
AUSTRALIA

E-mail: ai94@fermat.une.edu.au

You may e-mail the following address with the Subject Heading "help" to
obtain details on AI'94, UNE, and Armidale.

ai94-info@fermat.une.edu.au

ai94-info mail server has been established to enable electronic request for
information regarding AI'94 Conference.

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

Date: Mon, 17 Jan 1994 21:50:56 GMT
From: estes@ece.ucdavis.edu (Robert Estes)
Organization: U.C. Davis - Department of Electrical Engineering and Computer Science
Subject: PCS 94 reminder - summaries due February 1

*** REMINDER ***

CALL FOR PAPERS

PCS '94

1994 Picture Coding Symposium

September 21 - 23, 1994

Hyatt Regency Hotel

Sacramento, California

*** Summaries due February 1, 1994 ***

Papers containing new, original and unpublished material of research
character are solicited. Prospective authors are asked to submit for
review 4 copies of a preliminary summary of the paper, in English. The
summary should be no more than four pages, but not less than two. You
are requested to leave a 1in left margin and use good printing quality
(Times Roman, 12pt font preferred) monochrome photographs should be
pasted in the text. Authors interested in submitting color
photographs should contact the PCS94 committee. Two types of
presentations will be used, oral and poster presentations. About 15
minutes will be allotted to each oral presentation, including
discussions. In order to maintain the quality and focus of the
Symposium, no parallel sessions will be held.

Overhead projector, 35 mm slide projector and U-matic 3/4" NTSC*/*PAL
will be available. Other means of visual aids may be provided on
request.

Areas of interest include, but are not limited to:

- Human observer/psychophysics
- Feature extraction and picture processing
- Coding of still pictures
- Coding of moving pictures
- Modeling and synthetic coding
- Error protection
- Implementation architecture and LSI

New Areas:

- Image and video compression in a multimedia computer network environment
- Very high quality imaging (photographic and technical report quality)
- Very low bit rate video coding. (<64 Kbps)
- Software encoding/decoding

Authors' schedule:

Submission of summary and registration sheet: February 1, 1994; Notice
of Acceptance: May 1, 1994; Submission of revised summary (optional)
June 1, 1994. Presentations/posters will be limited to a maximum of
three per attendee (with at most one of these as first author).
Persons interested in contributing to the program or receiving more
information, please contact:

PCS 94
CIPIC - Center for Image Processing and Integrated Computing
2345 Academic Surge Building
University of California
Davis, CA 95616-8553 USA
Tel: +1-916-752-2387
Fax: +1-916-752-8894
E-mail: pcs94@cipic.ucdavis.edu

-------------------------------Cut Here-----------------------------------

PCS 94 - INFORMATION REQUEST

Name:__________________________________________________________

Address:__________________________________________________________

__________________________________________________________

__________________________________________________________

Country:_____________________

Telephone:_____________________ Fax:_______________________

E-mail address:________________________________

I intend to: ( ) submit a paper ( ) attend only

Title of Paper or Area of Interest:______________________________________

Send registration info? (yes/no)

-------------------------------and Here----------------------------------

PCS 94

International Steering Committee:

Chair: V. Ralph Algazi, University of California, Davis, USA
Claude Labit, IRISA, France
Hans G. Musmann, University of Hannover, Germany
Leonardo Chiariglione, CSELT, Italy
Hiroshi Yasuda, NTT, Japan
Yasuhiko Yasuda, Waseda University, Japan
Makoto Miyahara, JAIST, Japan
Don Pearson, University of Essex, UK
Barry Haskell, ATT Bell Labs, USA
Martin Vetterli, University of California, Berkeley; Columbia University, USA
Didier LeGall, C-Cube, USA
Andrew Lippman, MIT, USA
John Woods, Renselaer, USA
John Limb, Hewlett Packard, USA
Murat Kunt, EPFL, Switzerland
Michael Biggar, Telecom, Australia
Andrew Tescher, Lockheed, USA

Program Committee:

Chair: Todd R. Reed, University of California, Davis, USA
Tom Lookabaugh, DiviCom, USA
Fred Kitson, Hewlett Packard, USA
Alex Drukarev, Hewlett Packard, USA
Yoshinori Sakai, Tokyo Institute of Technology, Japan
Mohamed Ghanbari, University of Essex, UK

Local Organization Committee:

Chair: Gary Ford, University of California, Davis, USA
Todd R. Reed, University of California, Davis, USA
Vasudev Bhaskaran, Hewlett Packard, USA
--
Robert estes@cipic.ucdavis.edu
Center for Image Processing and Integrated Computing (CIPIC)
University of California, Davis
Davis, California 95616 Phone: (916) 753-6430

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

Date: 20 Jan 94 04:15:37 GMT
From: rik@cs.ucsd.edu (Rik Belew)
Organization: CSE Dept., UC San Diego
Subject: AI Genealogy [LONG]

AI GENEALOGY
Building an AI family tree

More and more collections of bibliographic references to the
literatures of artificial intelligence, cognitive science, computer
science and other disciplines are becoming available over the Net.
Much of the work in free-text information retrieval (IR) is aimed at
developing INDEXING methods which would allow access to these
citations by appropriate keywords. Another potential source of
information that could augment these is "cultural" information
capturing some features of the SOCIAL relationships among authors in a
field. Towards that purpose, we ask your help in developing a "family
tree" capturing one type of intellectual relationship, thesis
advising. Historians and philosophers of science have pointed to the
importance of this channel of intellectual lineage generally, and some
preliminary studies have explored its role in AI in particular.

Some of you may recall an earlier version of this query sent out
several years ago. From this call and other sources we have to date
collected information on approximately 2600 Masters and Ph.D. theses
nominally in the area of AI. As a result, information about your
thesis may already be included in our database. A small, early subset
of theses for which we have data are included in a report
below. The entire list (about 170KB) is available for anonymous FTP at:

cs.ucsd.edu:/pub/rik/aigen.rpt

However, we know that our methods for collecting this data have not
been exhaustive, and so we are again sending this query out to
relevant places on the Net (news groups, etc.) in hopes of filling in
gaps. In some cases we are missing information (esp. thesis
abstracts) in the records of some individuals (these are denoted by
dashes in the reports). In many more cases, we know we are missing
names entirely.

If you are not already included in our database, have a Masters or
Ph.D. and consider yourself a researcher in AI, we would like you to
send us some information about your thesis: its year, title, abstract,
where you got your degree, who your advisor and committee members
were. In subsequent work, we also hope to analyze flow between
research institutions, and so we also ask where you have worked since
you completed your degree. The specific questions are contained in a
brief questionnaire below, and this is followed by an example. If you
can snip this (soft copy) questionnaire, fill it in and send back to
me intact it will reduce the chance that we'll get any of your data
wrong and make our parsing task easier.

If you know some of these facts about your advisor (committee
members), and their advisors, etc., we would appreciate it if you
could send that information as well. One of our goals is to trace the
genealogy of today's researchers back as far as possible, for example
to participants in the Dartmouth conference of 1956, as well as
connections to other disciplines. If you do have any of this
information, simply duplicate the questionnaire and fill in a separate
copy for each person. Also, please forward this query to any of your
colleagues that may not see this mailing list.

Let me anticipate some concerns you may have. First, no one would
suggest that AI research is published only in theses. This
restriction is designed only to explore one notion of "intellectual
lineage" more precisely. To the extent that this information about AI
authors proves useful, it should be possible to extrapolate from
theses to other publications by these same individuals. Also, be
advised that this is very much a not-for-profit operation. The
resulting information will remain a resource in the public domain and
available for FTP (and soon Gopher and WWW, etc.) access.

If you have any questions, or suggestions, please let me know. Thank
you for your help.

Richard K. Belew
Computer Science & Engr. Dept. (0114)
Univ. Calif. - San Diego
La Jolla, CA 92093-0114
619/534-2601
619/534-5948 (messages)
rik@cs.ucsd.edu

Enclosures: Questionaire - template
Questionaire - sample
AI Genealogy report - sample


-------------------------------------------------------------- 
AI Genealogy questionnaire
Please complete and return to:
rik@cs.ucsd.edu


NAME:

Thesis year:

Thesis title:

Thesis abstract - BEGIN
<Multi-line abstract goes here>
Thesis abstract - END

Department:

University:
Univ. location:

Thesis advisor:
Advisor's department:

Committee member:
Member's department:

Committee member:
Member's department:

Research group:
Research institution:
Institution location:
Dates:

Research group:
Research institution:
Institution location:
Dates:


--------------------------------------------------------------
AI Genealogy questionnaire
EXAMPLE

NAME: Richard K. Belew

Thesis year: 1986

Thesis title: Adaptive information retrieval: machine learning in associative networks

Thesis abstract - BEGIN

One interesting issue in artificial intelligence (AI) currently is the
relative merits of, and relationship between, the "symbolic" and
"connectionist" approaches to intelligent systems building. The performance
of more traditional symbolic systems has been striking, but getting these
systems to learn truly new symbols has proven difficult. Recently, some
researchers have begun to explore a distinctly different type of
representation, similar in some respects to the nerve nets of several
decades past. In these massively parallel, connectionist models, symbols
arise implicitly, through the interactions of many simple and sub-symbolic
elements. One of the advantages of using such simple elements as building
blocks is that several learning algorithms work quite well. The range of
application for connectionist models has remained limited, however, and it
has been difficult to bridge the gap between this work and standard AI.
The AIR system represents a connectionist approach to the problem
of free-text information retrieval (IR). Not only is this an increasingly
important type of data, but it provides an excellent demonstration of the
advantages of connectionist mechanisms, particularly adaptive mechanisms.
AIR's goal is to build an indexing structure that will retrieve documents
that are likely to be found relevant. Over time, by using users' browsing
patterns as an indication of approval, AIR comes to learn what the keywords
(symbols) mean so as use them to retrieve appropriate documents. AIR thus
attempts to bridge the gap between connectionist learning techniques and
symbolic knowledge representations.
The work described was done in two phases. The first phase
concentrated on mapping the IR task into a connectionist network; it is
shown that IR is very amenable to this representation. The second, more
central phase of the research has shown that this network can also adapt.
AIR translates the browsing behaviors of its users into a feedback signal
used by a Hebbian-like local learning rule to change the weights on some
links. Experience with a series of alternative learning rules are reported,
and the results of experiments using human subjects to evaluate the results
of AIR's learning are presented.

Thesis abstract - END

Department: Computer & Communication Sciences (CCS)

University: University of Michigan

Univ. location: Ann Arbor, Michigan

Thesis advisor: Stephen Kaplan
Advisor's department: Psychology

Thesis advisor: Paul D. Scott
Advisor's department: CCS

Committee member: Michael D. Gordon
Member's department: Mgmt. Info. Systems - Business School

Committee member: John H. Holland
Member's department: CCS

Committee member: Robert K. Lindsay
Member's department: Psychology

Research group: Computer Science & Engr. Dept.
Research institution: Univ. California - San Diego
Institution location: La Jolla, CA
Dates: 9/1/86 - present


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

"Root" advisor
Year Student/advisor Thesis title
====================================== =============================

McCulloch, W. S.
---- Minsky, Marvin ----
---- Winston, Patrick H. ----
1985 Andreae, Peter JUSTIFIED GENERALIZATION:...
1992 Lee, Jintae A DECISION RATIONALE...
1992 Borchardt, Gary Conrad CAUSAL RECONSTRUCTION:...
---- Greenblatt, Richard ----
---- Evans, Thomas ----
1964 Bobrow, Daniel G. USING NATURAL LANGUAGE INPUT...
1964 Raphael, Bert SEMANTIC INFORMATION RETRIEVER
1968 Guzman, Adolfo COMPUTER RECOGNITION OF...
1970 Jones, Thomas L. A COMPUTER MODEL OF SIMPLE...
1970 Horn, Berthold K.P. SHAPE FROM SHADING: A METHOD...
1978 Woodham, Robert REFLECTANCE MAP TECHNIQUES...
1987 Gennert, Michael A. A COMPUTATIONAL FRAMEWORK...
1971 Smoliar, Stephen William A PARALLEL PROCESSING MODEL...
---- Papert, Seymour ----
---- Charniak, Eugene SEE CO-ADV MOSES, JOEL
1970 Winograd, Terry PROCEDURES AS A...
1981 Gabriel, Richard P. AN ORGANIZATION FOR PROGRAMS...
1993 Mcgee, Kevin PLAY AND THE GENESIS OF...
Shannon, C.
---- McCarthy, John ----
1966 Reddy, D. Raj AN APPROACH TO COMPUTER...
1974 Erman, Lee D. AN ENVIRONMENT AND SYSTEM...
Moses, Joel
---- Charniak, Eugene PATTERN RECOGNITION?
1983 Hirst, Graeme SEMANTIC INTERPRETATION...
1986 Hendler, James Alexander INTEGRATING MARKER-PASSING...
1989 Kambhampati, Subbarao FLEXIBLE REUSE AND...
1992 Spector, Lee Arthur SUPERVENIENCE IN...
1988 Mccartney, Robert David SYNTHESIZING ALGORITHMS WITH...
1990 Calistri, Randall J. CLASSIFYING AND DETECTING...
1991 Goldman, Robert Prescott A PROBABILISTIC APPROACH TO...
Mandelbrot
---- Agmon, Jacob ----
---- Shamir, Eliahu ----
---- Beeri, Catriel ----
1981 Vardi, Moshe Y. THE IMPLICATION PROBLEM FOR...
1978 Lehmann, Daniel CATEGORIES FOR FIXPOINT...
Simon, Herbert A.
1957 Newell, Allen INFORMATION PROCESSING : A...
1964 London, Ralph L. A COMPUTER PROGRAM FOR...
1966 Ernst, George W. GENERALITY AND GPS
1991 He, Xiaoping METHODS FOR AN EXPERT SYSTEM...
1967 Winikoff, Arnold W. EYE MOVEMENTS AS AN AID TO...
1968 Quatse, Jesse T. A HIGHLY-MODULAR...
1968 Fikes, Richard E. A HEURISTIC PROGRAM FOR...
1969 Freeman, Peter A. SOURCEBOOK FOR OSD : AN...
1971 Moore, James Aston Jr. THE DESIGN AND EVALUATION OF...
1972 Gibbons, Gregory Debbie BEYOND REF - ARF : TOWARD AN...
1973 Moran, Thomas Patrick THE SYMBOLIC IMAGERY...
1974 Farley, Arthur Melvin VIPS : A VISUAL IMAGERY AND...
1974 Young, Richard M. CHILDREN'S SERIATION...
1974 Reeker, Larry Henry A PROBLEM-SOLVING THEORY OF...
1974 Mann, William Carlton MEMORY PROCESSES FOR...
1975 Brooks, Ruven E. A MODEL OF HUMAN COGNITIVE...
1976 Rychener, Michael David PRODUCTION SYSTEMS AS A...
1978 Card, Stuart K. STUDIES IN THE PSYCHOLOGY OF...
1978 McCracken, Donald A PRODUCTION SYSTEM VERSION...
1978 Gillogly, James John PERFORMANCE ANALYSIS OF THE...
1979 Forgy, Charles Lanny ON THE EFFICIENT...
1981 Ramakrishna, Kamesh SCHEMATIZATION AS AN AID TO...
1981 Mostow, Jack MECHANICAL TRANSFORMATION OF...
1992 Bhatnagar, Neeraj ON-LINE LEARNING FROM SEARCH...
1983 Rosenbloom, Paul Simon THE CHUNKING OF GOAL...
1992 Golding, Andrew Robert PRONOUNCING NAMES BY A...
1983 Laird, John E. UNIVERSAL SUBGOALING
1989 Markovitch, Shaul SEE CO-ADV SCOTT, PAUL D.
1990 Paxton, John Telfair MARTIAN: A CONCEPT LEARNING...
1988 John, Bonnie Elizabeth. CONTRIBUTIONS TO ENGINEERING...
1989 Steier, David Menachem. AUTOMATING ALGORITHM DESIGN...
1992 Yost, Gregg R. TAQL: A PROBLEM SPACE TOOL...
1959 Feldman, Julian AN ANALYSIS OF PREDICTIVE...
1960 Feigenbaum, Edward A. AN INFORMATION PROCESSING...
---- Lenat, Douglas B. ----
1989 Karp, Peter Dornin HYPOTHESIS FORMATION AND...
1992 Guha, Ramanathan V. SEE CO-ADV MCCARTHY, JOHN
1961 Lindsay, Robert K. THE READING MACHINE PROBLEM.
1962 Muth, John F. OPTIMAL LINEAR POLICIES.
1963 Levy, Ferdinand Katz AN ADAPTIVE PRODUCTION...
1964 Knight, Kenneth E. A FAST SORT OF COUNTRY : A...
1965 Williams, Thomas G. SOME STUDIES IN GAME PLAYING...
1966 Crecine, John P. A COMPUTER SIMULATION MODEL...
1967 Quillian, M. Ross SEMANTIC MEMORY.
1967 Coles, L. Stephen SYNTAX DIRECTED...
1967 Klahr, David DECISION MAKING IN A COMPLEX...
1967 Soelberg, Peer A STUDY FOR DECISION MAKING...
1968 Siklossy, Laurent NATURAL LANGUAGE LEARINING...
1968 Bree, David S. THE UNDERSTANDING PROCESS AS...
1969 Wilson, Glenn Tilbrook BEHAVIORAL THEORY OF...
1969 Dansereau, Donald F. AN INFORMATION PROCESSING...
1969 Pople, Harry E. Jr. A GOAL-ORIENTED LANGUAGE FOR...
1969 Williams, Donald S. COMPUTER PROGRAM...
1969 Huesmann, L. Rowell A STUDY OF HEURISTIC...
1969 Waldinger, Richard J. CONSTRUCTING PROGRAMS...
1970 Grason, John. METHODS FOR THE...
1971 Ein-Dor, Phillip ELEMENTS OF A THEORY OF...
1971 Tuggle, Francis Douglas A PRODUCTION SYSTEM...
1971 Pfefferkorn, Charles E. COMPUTER DESIGN OF EQUIPMENT...
1973 Friend, Kenneth Edwin AN INFORMATION PROCESSING...
1974 Gilmartin, Kevin J. AN INFORMATION PROCESSING...
1974 Rosenberg, Steven T. MODELLING SEMANTIC MEMORY : ...
1974 Hedrick, Charles L. A COMPUTER PROGRAM TO LEARN...
1978 Bouwman, Marinus J. FINANCIAL DIAGNOSIS: A...
1979 Gaschnig, John PERFORMANCE MEASUREMENT AND...
1980 Langley, Patrick W. DECSRIPTIVE DISCOVERY...
1989 Nordhausen, Bernd Enno A COMPUTATIONAL FRAMEWORK...
1989 Rose, Donald David BELIEF REVISION AND MACHINE...
1989 Jones, Randolph Martin A MODEL OF RETRIEVAL IN...
1990 Gennari, John Hewson AN EXPERIMENTAL STUDY OF...
1991 Iba, Wayne Franklin ACQUISITION AND IMPROVEMENT...
1981 Neves, David Michael LEARNING PROCEDURES FOR...
1981 Bromiley, Philip A BEHAVIORAL INVESTIGATION...
1983 Korf, Richard Earl LEARNING TO SOLVE PROBLEMS...
1993 Powley, Curtis Nelson PARALLEL TREE SEARCH ON A...
1983 Fox, Mark S. CONSTRAINT-DIRECTED SEARCH :...
1984 Kotovsky, Kenneth TOWER OF HANOI PROBLEM...
1985 Tomita, Masaru AN EFFICIENT CONTEXT-FREE...
1986 Zhang, Guo-Jan LEARNING TO PROGRAM IN OPS5.
1988 Kulkarni, Deepak. THE PROCESSES OF SCIENTIFIC...
1988 Iwasaki, Yumi MODEL BASED REASONING OF...
1989 Shen, Wei-Min. LEARNING FROM ENVIRONMENTS...
1991 Valdes-Perez, Raul Eduardo MACHINE DISCOVERY OF...
Luce, R. Duncan
1962 Norman, Donald A. NEURAL QUANTUM THEORY
Hunt, Earl B.
1968 Quinlan, J. Ross AN EXPERIENCE-GATHERING...
Mey, Jacob
1969 Schank, Roger C. A CONCEPTUAL DEPENDENCY...
---- Reisbeck, C. ----
---- Seifert, C. ----
---- Gershman ----
---- Lytinen, S. ----
---- Carbonell, Jaime G. ----
1988 Minton, Steven LEARNING EFFECTIVE SEARCH...
1991 Perlin, Mark W. AUTOMATING THE CONSTRUCTION...
1991 Hauptmann, Alexander Georg MEANING FROM STRUCTURE IN...
---- Bain, William Michael ----
---- Goldman ----
---- Dejong, Gerald Francis ----
1987 Segre, Alberto Maria EXPLANATION-BASED LEARNING...
1988 Shavlik, Jude William GENERALIZING THE STRUCTURE...
1991 Towell, Geoffrey Gilmer SYMBOLIC KNOWLEDGE AND...
1988 Mooney, Raymond Joseph A GENERAL EXPLANATION-BASED...
1992 Ng, Hwee Tou A GENERAL ABDUCTIVE SYSTEM...
1989 Rajamoney, Shankar Anandsubramaniam EXPLANATION-BASED THEORY...
1991 Chien, Steve Ankuo AN EXPLANATION-BASED...
1993 Bennett, Scott William A MACHINE LEARNING APPROACH...
---- Cullingford ----
---- Collins ----
---- Granger, Richard H. Jr. ----
1989 Eiselt, Kurt Paul INFERENCE PROCESSING AND...
---- Kolodner, Janet L. ----
1989 Shinn, Hong Shik A UNIFIED APPROACH TO...
1989 Turner, Roy Marvin A SCHEMA-BASED MODEL OF...
1991 Hinrichs, Thomas Ryland PROBLEM-SOLVING IN OPEN...
1992 Redmond, Michael Albert LEARNING BY OBSERVING AND...
---- Lehnert, Wendy G. ----
1983 Dyer, Michael G. IN-DEPTH UNDERSTANDING: A...
1987 Mueller, Eric DAYDREAMING AND COMPUTATION:...
1987 Zernik, Uri STRATEGIES IN LANGUAGE...
1988 Pazzani, Michael John LEARNING CAUSAL...
1988 Gasser, Michael SEE CO-ADV HATCH, EVELYN
1989 Dolan, Charles Patrick TENSOR MANIPULATION...
1989 Alvarado, Sergio Jose UNDERSTANDING EDITORIAL...
1989 Dolan, Charles THE USE AND ACQUISITION OF...
1991 Lee, Geunbae DISTRIBUTED SEMANTIC...
1991 Reeves, John Fairbanks COMPUTATIONAL MORALITY: A...
1991 Nenov, Valeriy Iliev PERCEPTUALLY GROUNDED...
1991 Quilici, Alexander Eric THE CORRECTION MACHINE: A...
1993 Turner, Scott R. MINSTREL: A COMPUTER MODEL...
1990 Williams, Robert Stuart LEARNING PLAN SCHEMAS FROM...
---- Reiger, C. ----
1976 Meehan, James R. THE METANOVEL: WRITING...
1978 Wilensky, Robert UNDERSTANDING GOAL-BASED...
1985 Jacobs, Paul A KNOWLEDGE-BASED APPROACH...
1986 Norvig, Peter A UNIFIED THEORY OF...
1986 Arens, Yigal CLUSTER: AN APPORACH TO...
1987 Chin, David Ngi INTELLIGENT AGENTS AS A...
1980 Lebowitz, Michael GENERALIZATION AND MEMORY IN...
1987 Hovy, Eduard Hendrik GENERATING NATURAL LANUGAGE...
1988 Hunter, Lawrence E. GAINING EXPERTISE THROUGH...
1989 Ram, Ashwin QUESTION-DRIVEN...
1989 Dehn, Natalie Jane COMPUTER STORY-WRITING: THE...
1990 Leake, David Browder EVALUATING EXPLANATIONS
1992 Domeshek, Eric Andrew DO THE RIGHT THING: A...
1993 Edelson, Daniel Choy LEARNING FROM STORIES:...
Holland, John H.
1969 Westerdale, Thomas H. A SELF DESCRIBING AXIOMATIC...
1982 Booker, Lashon B. INTELLIGENT BEHAVIOR AS AN...
1985 Forrest, Stephanie A STUDY OF PARALLELISM IN...
1988 Riolo, Rick L. EMPIRICAL STUDIES OF DEFAULT...
1990 Mitchell, Melanie SEE CO-ADV HOFSTADTER, DOUGLAS
1992 French, Robert Matthew SEE CO-ADV HOFSTADTER, DOUGLAS
Feldman, Jerome A.
1970 Tenenbaum, Jay M. ACCOMMODATION IN COMPUTER...
1989 Weber, Susan Hollbach A STRUCTURED CONNECTIONIST...
1992 Goddard, Nigel Hugh THE PERCEPTION OF...
Zvegincev, Vladimir A.
1970 Raskin, Victor TOWARDS A THEORY OF...
Pavlidis, Theo
1970 Mylopoulos, John ----
1978 Peacocke, Dick A FORMALISM FOR PICTORIAL...
1982 Levesque, Hector J. A FORMAL TREATMENT OF...
1987 Patel-Schneider, Peter F. DECIDABLE, LOGIC-BASED...
1987 Kramer, Bryan M. CONTROL OF REASONING IN...
Travis, Larry E.
1971 Shapiro, Stuart C. A DATA STRUCTURE FOR...
1991 Noordewier, Michiel Oliver A DECLARATIVE COMPUTATIONAL...
1991 Medow, Mitchell Aaron KNOWLEDGE ACQUISITION FOR...
Meltzer, Bernard
1973 Hayes, Patrick John SEMANTIC TREES IN AUTOMATIC...
Prata, William K.
1975 Huhns, Michael N. OPTIMUM RESTORATION OF...
Cohen, Stanley N.
1975 Shortliffe, Ted MYCIN: A RULE-BASED...
1985 Cooper, Gregory F. NESTOR: A COMPUTER-BASED...
1990 Chavez, R. Martin ARCHITECTURES AND...
1992 Suermondt, Henri Jacques EXPLANATION IN BAYESIAN...
1988 Musen, Mark Alan GENERATION OF MODEL-BASED...
1989 Klein, David A. INTERPRETIVE VALUE ANALYSIS
1990 Heckerman, David Earl PROBABILISTIC SIMILARITY...
1992 Lehmann, Harold Philip A BAYESIAN COMPUTER-BASED...
Castaneda, Hector-Neri
1976 Rapaport, William J. INTENTIONALITY AND THE...
1992 Srihari, Rohini Kesavan EXTRACTING VISUAL...
Perlis, Alan J.
1976 Krutar, Rudolph A. FLEXORS.
Starkweather, John
1976 Wiederhold, Gio A METHODOLOGY FOR THE DESIGN...
1979 Shoch, John DESIGN AND PERFORMANCE OF...
1979 Garcia-Molina, Hector PERFORMANCE OF UPDATE...
1991 Staelin, Carl Hudson HIGH-PERFORMANCE FILE SYSTEM...
1980 Minoura, Toshimi RESILIENT EXTENDED TRUE-COPY...
1980 El-Masri, Ramez ON THE DESIGN, USE, AND...
1980 Shaw, David Eliot KNOWLEDGE-BASED RETRIEVAL ON...
1981 King, Jonathan Jay QUERY OPTIMIZATION BY...
1981 Blum, Robert L. DISCOVERY AND REPRESENTATION...
1982 Gilbert, Erik J. ALGORITHM PARTITIONING TOOLS...
1983 Davidson, Jim E. INTERPRETING NATURAL...
1983 Whang, Kyu Young A PHYSICAL DESIGN...
1983 Brinkley, James F. ULTRASONIC THREE-DIMENSIONAL...
1983 Rowe, Neil Charles RULE-BASED STATISTICAL...
1984 Kortas, Ricardo G. THE EFFECTIVE ST-SEGMENT: A...
1985 Keller, Arthur M. UPDATING DATABASES THROUGH...
1987 Winslett, Marianne UPDATING LOGICAL DATABASES
1987 Koo, CharLin A DISTRIBUTED MODEL FOR...
1987 Pednault, Edwin Peter Dawson A THEORY OF CLASSICAL...
1989 Qian, XioaLei CONSTRAINT-BASED SYNTHESIS...
1989 Swami, Arun OPTIMIZATION OF LARGE JOIN...
1989 Linda deMichiel THE SEMANTIC MEDIATION OF...
1990 Barsalou, Thierry VIEW OBJECTS FOR RELATIONAL...
1990 Rathmann, Peter Karl NONMONOTONIC SEMANTICS FOR...
1990 Rathman, Peter NONMONOTONIC SEMANTICS FOR...
1990 Lee, Byung Suk EFFICIENTLY INSTANTIATING...
Simmons, Robert Francis
1976 Novak, Gordon S. Jr. COMPUTER UNDERSTANDING OF...
1989 Bulko, William Charles UNDERSTANDING COREFERENCE IN...
1992 Lee, Xiang-Seng TEMPORAL AND SPATIAL...
1993 Chang, Ruey-Juin CLICHE-BASED MODELING FOR...
1980 Amsler, Robert A. THE STRUCTURE OF THE...
1982 Smith, Howard R. A GRAMMATICAL INFERENCE...
1991 Papa, Frank Joseph TEST OF THE GENERALIZABILITY...
1990 Rim, Hae-Chang COMPUTING OUTLINES FROM...
1990 Higinbotham, Dan Walter SEE CO-ADV WALL, ROBERT E.
1990 Yu, Yeong-Ho UNDERSTANDING TEXT WITH...
1991 Petrie, Charles Joseph, Jr. PLANNING AND REPLANNING WITH...
Woods, William A.
1977 Brachman, Ronald J. A STRUCTURAL PARADIGM FOR...
Marr, David C.
1978 Nishihara, H. Keith REPRESENTATION OF THE...
1980 Grimson, W. Eric L. COMPUTING SHAPE USING A...
1987 Gennert, Michael A. SEE CO-ADV HORN, BERTHOLD K.P.
1988 Stewart, W. Kenneth MULTISENSOR MODELING...
1993 Wells, William Mercer, III STATISTICAL OBJECT RECOGNITION
Sweeney, James L.
1978 Marks, Robert E. NONRENEWABLE RESOURCES AND...
Trabasso, Tom
1979 Omanson, Richard C. THE NARRATIVE ANALYSIS
Sussman, Gerald Jay
1979 Kleer, Johan de CAUSAL AND TELEOLOGICAL...
1986 Weise, Daniel FORMAL MULTILEVEL...
1992 Zhao, Feng SEE CO-ADV ABELSON, HAROLD
Demers, Alan
1979 Bates, Joseph A LOGIC FOR CORRECT PROGRAM...
Specht, H.J.
1979 Maenner, Reinhard GOD - EIN FLEXIBLES...
Metcalfe, Robert
1979 Shoch, John SEE CO-ADV WIEDERHOLD, GIO
Hewitt, Carl
1979 Kahn, Kenneth M. THE CREATION OF COMPUTER...
Buchanan, Bruce G.
1979 Clancey, William J. TRANSFER OF RULE-BASED...
1984 Dietterich, Thomas G. CONSTRAINT PROPAGATION...
1989 Hirsh, Haym INCREMENTAL VERSION-SPACE...
1990 Schoen, Eric Jonathan INTELLIGENT ASSISTANCE FOR...
1992 Provost, Foster John POLICIES FOR THE SELECTION...
Owicki, Susan
1980 Minoura, Toshimi SEE CO-ADV WIEDERHOLD, GIO
Chandrasekaran, B.
1980 Flinchbaugh, Bruce E. A COMPUTATIONAL THEORY OF...
1980 Mittal, Sanjay DESIGN OF A DISTRIBUTED...
1989 Keuneke, Anne Marie MACHINE UNDERSTANDING OF...
1989 Punch, William Francis, III A DIAGNOSIS SYSTEM USING A...
1989 Tanner, Michael Clay EXPLAINING KNOWLEDGE...
1989 Goel, Ashok Kumar INTEGRATION OF CASE-BASED...
1992 Herman, David Joseph AN EXTENSIBLE, TASK-SPECIFIC...
1992 Fox, Richard Keith LAYERED ABDUCTION FOR SPEECH...
1992 Narayanan, N. Hari IMAGERY, DIAGRAMS AND REASONING
Penrose, Roger
1980 Ginsberg, Matthew L. A COHOMOLOGICAL APPROACH TO...
1993 Darwiche, Adnan Youssef A SYMBOLIC GENERALIZATION OF...
Waltz, David L.
1980 Finin, Timothy W. THE SEMANTIC INTERPRETATION...
1988 Kass, Robert John ACQUIRING A MODEL OF THE...
1989 Klein, David A. SEE CO-ADV SHORTLIFFE, TED
1991 Sun, Ron INTEGRATING RULES AND...

Richard K. Belew rik@cs.ucsd.edu

Computer Science & Engr. Dept. 619 / 534-2601
Univ. California -- San Diego 619 / 534-5288 (msgs)
9500 Gilman Dr. (0114) 619 / 534-7029 (fax)
La Jolla, CA 92093-0114

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

End of VISION-LIST digest 13.3
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