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VISION-LIST Digest Volume 14 Issue 22
VISION-LIST Digest Mon Jun 05 15:19:42 PDT 95 Volume 14 : Issue 22
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Today's Topics:
PD at INRIA
PD at Draper
PhD opportunities in Vision
Report of the Workshop on 3-D Object Representations in Computer Vision
Machine Vision Applications in Industrial Inspection 1996
Conf. announcement
Sun Annual Lecture at the University of Manchester
NNSP95 - FORMAL PROGRAM (LONG)
----------------------------------------------------------------------
Date: Fri, 02 Jun 1995 19:04:48 +0200
From: Rachid Deriche <Rachid.Deriche@sophia.inria.fr>
Subject: PD at INRIA
Organization: I.N.R.I.A. , Valbonne Sophia Antipolis
The Computer Vision research group Robotvis at INRIA Sophia-Antipolis,
( http://www.inria.fr/Equipes/ROBOTVIS-eng.html )
invites applications for HCM Post-Doctoral EC-Fellowships
Applicants must have research interests in Computer Vision with an
emphasis on Computer Vision and Image Processing by PDE methods, and
Geometrical Modeling and Invariants for Computer Vision. The 2
fellowships will be tenable for 11 months each, starting from
December 1995.
Candidates must have a PhD thesis, or be ready to defend it in the
next three months, should be citizens of a European Community Member State,
(but not from France) or resident and working in research in
the Community for at least one year.
Applicants are invited to submit a summary of their research interests
including a list of publications, a curriculum vitae, reference letters,
URL and email addresses..
Applications must be sent, before July 15, 1995 to ~:
MM Olivier Faugeras and Rachid Deriche
INRIA
2004 Route des Lucioles
BP 93 06902 Sophia-Antipolis Cedex
France
email: faugeras@sophia.inria.fr
email: der@sophia.inria.fr
------------------------------
Date: Sun, 4 Jun 95 10:14:55 EDT
From: Homer Pien <hhp@egdsun6.draper.com>
Subject: PD at Draper
The C. S. Draper Laboratory invites applicants for a two-year
PostDoc fellowship (The Solomon J. Buchsbaum Postdoctoral
Fellowship). The areas of interest include guidance, navigation,
control, autonomous vehicles/systems, computer science, software
engineering, among others. The fellowship is expected to be
highly competitive.
Recent (i.e., <= 3 years) recipients of PhDs, with US Citizenship,
are eligible. Application deadline is 1 July 1995.
I, in particular, am seeking applicants with research
interests in digital image processing and computer vision.
We have an Image Recognition Systems group which conducts
research in variational and stochastic processing, multiscale
modeling, fractal and wavelet theory, and neural networks. Our
application areas include SAR processing, realtime autonomous
vision systems, sensor data fusion, biomedical image processing,
NASA autonomous landing systems, underwater mine detection,
and others. An applicant with complementary research interests
(e.g., model based vision) is highly desirable.
For background, Draper Laboratory is a Massachusetts chartered
not-for-profit R&D laboratory, and a leader in the development
of highly automated systems. Draper is located next to the
MIT campus in Cambridge, MA, and maintains considerable educational
ties with the local universities, especially MIT, Harvard, BU,
Northeastern, and Tufts.
If you are interested in applying to the image processing / computer
vision areas, please send me your vitals:
Dr. Homer Pien
C. S. Draper Laboratory, MS: 3H
555 Technology Square
Cambridge, MA 02139
tel: 617-258-4267
fax: 617-258-2555
email: hpien@draper.com
If you are interested in the program in general, please write to
Mr. John Sweeney
Director of Education
C. S. Draper Laboratory, MS: 57
555 Technology Square
Cambridge, MA 02139
tel: 617-258-2393
fax: 617-258-2333
email: jsweeney@draper.com
Homer Pien
------------------------------
Date: Mon, 5 Jun 1995 10:59:59 GMT
From: andy@cee.hw.ac.uk (Andrew Wallace)
Organization: Dept of Computing & Electrical Engineering, Heriot-Watt University, Scotland
Subject: PhD opportunities in Vision
Heriot-Watt University has announced recently an extended University Scholarship
scheme to attract excellent postgraduate research students in any relevant
discipline. In addition to this scheme Heriot-Watt has a number of other funded places
available, including for example EPSRC research studentships.
The vision group at Heriot-Watt has a number of externally funded programmes at present,
working on diverse areas including 3D imaging and metrology, parallel and active visual
systems, motion tracking and so on. Currently there are 3 full time academic staff and
7 research students and associates. We are anxious to hear from well qualified
applicants who wish to pursue a PhD programme.
For further detailed information on staff and current programmes, please examine
the world wide web page on http://www.cee.hw.ac.uk. If you believe that you could
make a contribution to our programme, or wish more detailed information on specific
PhD topics, please contact me by email or written letter at the Department of Computing
and Electrical Engineering, Heriot-Watt.
Andrew Wallace JANET : andy@cs.hw.ac.uk
ARPA : andy@uk.ac.hw.cs
UUCP : ..ukc!cs.hw.ac.uk!andy
------------------------------
Date: Fri, 2 Jun 95 11:50:16 EDT
From: Martial.Hebert@IUS4.IUS.CS.CMU.EDU
Subject: Report of the Workshop on 3-D Object Representations in Computer Vision
A workshop on "3-D Object Representations in Computer Vision",
sponsored by NSF and ARPA, was held last December in New York City.
The report of this workshop, including summaries of the panels and
abstracts of the presentations, is now available on the Web:
http://www.ius.cs.cmu.edu/usr/users/hebert/www/workshop/report.html
A .ps file is also available at the same address.
The full papers presented at the workshop will be published by
Springer Verlag in the LNCS series.
Martial Hebert
------------------------------
Date: Fri, 2 Jun 95 02:15:52 +0200
From: broggi@verdi.eng.unipr.it (Alberto Broggi)
Subject: Call for Papers
CALL FOR PAPERS
JOURNAL OF REAL-TIME IMAGING
Academic Press
Special Issue on
Special-Purpose Architectures for Real-Time Imaging
Nowadays, a number of different problems are solved through image processing
techniques (e.g. industrial inspection, robot guidance, unmanned vehicles,...,
to cite only a few examples). The problem of processing images in real-time
has been generally addressed and solved through the use of high-performance
computer systems, developed ad-hoc to meet the specific requirements of the
applications. Serial or parallel architectures have been enhanced through the
addition of various bus systems, interprocessor communication networks, and
other features explicitly designed to face the hard constraints imposed by
real-time processing, such as I/O (data acquisition and output), data
communications among processors (in multi-processor systems),...
A number of different special-purpose architectures for image analysis have
been proposed and developed, but seldom the presentation focuses on the
discussion of both the hard real-time requirements (applications) and the
hardware solutions which have been chosen (computer architectures).
The TOPICS of this Special Issue include, but are not limited to:
* Design of application-specific VLSI architectures;
* Performance analysis and comparison among different architectural solutions;
* Hardware mapping of parallel algorithms;
* VLSI architectures for HDTV and image compression;
* Hardware support for multimedia systems;
* Vision-based real-time robot and vehicle navigation;
* Massively parallel architectures for low-level vision;
* Hardware neural solutions;
* Experience on highly demanding vision applications.
Prospective authors are encouraged to submit papers with a strong emphasis on
the match between the application requirements and the chosen architectural
solutions, detailing the ad-hoc hardware enhancements. Papers should describe
systems which have been designed for a specific target application or which
have proved to be particularly suited for a given task.
MANUSCRIPT SUBMISSION:
* Authors should send 5 copies of their full paper (about 15 double-spaced
pages) to Alberto Broggi (whose address is indicated below).
* The closing date for submission is December 10th, 1995.
* Publication is tentatively expected to take place in mid 1996.
Accepted manuscripts will need to comply with all author guidelines of Journal
of Real-Time Imaging, available upon request from the guest editors or from
jrti@rtlab12.njit.edu.
GUEST EDITORS:
Alberto BROGGI Francesco GREGORETTI
Dip. di Ingegneria dell'Informazione Dip. di Elettronica
Viale delle Scienze Corso Duca degli Abruzzi
University of Parma Polytechnic of Turin
I-43100 Parma, Italy I-10129 Turin, Italy
Phone: +39-521-905707 Phone: +39-11-5644081
Fax: +39-521-905723 Fax: +39-11-5644099
E-Mail: broggi@CE.UniPR.IT E-Mail: gregor@PoliTO.IT
An up-to-date electronic version of this call for papers and related
information can be obtained via anonymous FTP from the host CE.UniPR.IT in
the directory /rti or via World Wide Web at: http://WWW.CE.UniPR.IT/rti.
------------------------------
Date: Mon, 5 Jun 1995 14:50:26 -0400
From: rao@watson.ibm.com
Subject: Machine Vision Applications in Industrial Inspection 1996
Machine Vision Applications in Industrial Inspection 1996
Conference Chairs: A. Ravishankar Rao, IBM Thomas J. Watson Research Ctr.;
Ning Chang, KLA Instruments Corp.
Program Committee:
Joon Han Pohang University
Robert Haralick University of Washington
John Jordan Tencor Instruments
Shree Nayar Columbia University
Maria Petrou University of Surrey
Jorge Sanz University of Illinois
Ken Tobin Oak Ridge National Laboratory
Machine vision systems can augment human vision capabilities in repetitive or
high-speed industrial inspection tasks or when precise visual measurement and
inspection are required. These systems improve manufacturing productivity,
quality, and compliance with product standards, and thus provide a competitive
advantage. Improvements in machine vision hardware, algorithms, and software
expand the range of industrial processes to which this technology can be
successfully applied.
This conference brings together practitioners and researchers in machine
vision to share recent developments in computer vision architectures,
hardware, algorithms, and software for industrial inspection tasks. Papers are
solicited but not limited to the following areas:
* new or improved algorithms for industrial inspection
* novel hardware designs for machine vision systems
* robot vision and tracking
* verification and identification
* performance evaluation of algorithms
* use of 3D or color imaging techniques
* automatic defect classification
* software systems for flexible automatic inspection
* applications of machine vision in microelectronics manufacturing, web
and paper products, glass and steel inspection, food and agriculture,
and pharmaceuticals.
Papers emphasizing fundamental methods that are widely applicable to
industrial inspection are especially welcome. All submissions will be peer
reviewed. Please note that abstracts must be at least 500 words in length in
order to receive full consideration.
This conference is just one of nearly 30 conferences to be held at the EI'96
symposium. And EI'96 is just part of the larger Photonics West Symposium being
held 27 January - 2 February 1996, San Jose Convention Ctr., San Jose,
California USA.
TO OBTAIN ALL CALLS FOR PAPERS ELECTRONICALLY
The calls for papers for all conferences in the Photonics West symposium will
be available early June on
SPIE Web
(http://www.spie.org/web/meetings/calls/pw96_home.html),
by anonymous FTP
(ftp://spie.org/meetings/calls/pw96*),
or by e-mail file retrieval
send a message to info-optolink-request@spie.org with the following in the
message body:
send [meetings.calls]pw96*}
For a printed call for papers or other information:
E-mail: pw96@spie.org
Fax: 360/647-1445 (*)
Phone: 360/676-3290 (*)
Electronic Imaging '96 DEADLINES
Paper Abstracts Due from Authors:
3 July 1995
Advance Programs due from Chairs:
31 July 1995
Manuscripts Due from Authors:
2 January 1996
GUIDELINES FOR SUBMITTING AN ABSTRACT
Send a 500 word abstract of your paper, by the appropriate deadline, in ONE of
the following ways:
>>mail (please mail 4 hard copies) to:
IS&T/SPIE Electronic Imaging '96
SPIE, P.O. Box 10, Bellingham, WA 98227-0010
Shipping Address: 1000 20th Street, Bellingham, WA 98225
Telephone: 360/676-3290 (*)
>>electronic mail in ASCII format to Internet abstracts@spie.org
(Please send one submission per email message.)
>>fax to SPIE at 360/647-1445 (*)
(Please send one submission per fax.)
Be sure each abstract includes the following:
1. CONFERENCE CHAIR and CONFERENCE TITLE (submit to ONLY ONE conference)
to which the abstract is submitted
2. AUTHOR LISTING (List principal author first)
for each author: full name [first(given) last(family] and affiliation,
mailing address, phone/fax numbers, email
3. ABSTRACT/PAPER TITLE
4. ABSTRACT TEXT: 500 words typed on white paper
5. KEYWORDS: maximum of 5 keywords
6. BRIEF BIOGRAPHY of the principal author: 50-100 words
Please contact SPIE if you have any questions or require further information.
(*) Please note:
SPIE's area code changed from 206 to 360 in February 1995. If you experience
any difficulty using the 360 area code, please use 206 and notify SPIE, your
local phone company, and the people in charge of the phone system from where
you placed your call. You may also call 1-800-441-5516 to report the
difficulty. Thank you for your patience while US West and other regional phone
companies fix this problem. You may also call SPIE at 800/483-9034, a
temporary number for use during this transition to the new area code.
------------------------------
Date: 5 Jun 1995 09:47:16 GMT
From: timc@cs.man.ac.uk (Tim Clement)
Organization: Dept of Computer Science, University of Manchester, U.K.
Subject: Sun Annual Lecture at the University of Manchester
1995 Sun Annual Lecture in Computer Science
University of Manchester
August 31st -- September 1st
Teaching Vehicles to See:
Dynamic Machine Perception for Motion Control
Ernst D. Dickmanns
Professor Ernst D. Dickmanns will give a series of eight lectures on
dynamic machine perception for motion control. The lectures will be
illustrated with video of the self guiding vehicles that his group has
developed in action.
Dr.-Ing. E.D. Dickmanns is Professor for Control Engineering at the
Aerospace Technology Department of the Universitat der Bundeswehr, Munich.
Registration for the lecture series is 90 pounds (45 pounds for
registered students), which includes lunch each day, and supporting
material for the lectures.
Further information, including a synopsis of the lectures and
registration forms, is available on WWW at
http://www.cs.man.ac.uk/events/sun-lecture.html
or by e-mail request to annual-lecture@cs.man.ac.uk.
------------------------------
Date: 1 Jun 1995 19:06:24 GMT
From: marney@motor-cortex.ai.mit.edu (Marney Smyth)
Organization: MIT Artificial Intelligence Lab
Subject: NNSP95 - FORMAL PROGRAM (LONG)
1995 IEEE WORKSHOP ON
NEURAL NETWORKS FOR SIGNAL PROCESSING
August 31 - September 2, 1995,
Royal Sonesta Hotel Cambridge, Massachusetts, USA.
The full program for NNSP95 is now available, and you can get the
information here, or by consulting our WWW Homepage at this URL:
http://www.cdsp.neu.edu/info/nnsp95.html, or by anonymous ftp
at site ftp.cdsp.neu.edu public directory /pub/NNSP95.
NNSP95 is sponsored by the Neural Networks Technical Committee of the
IEEE Signal Processing Society, in cooperation with the IEEE Neural
Network Council and with co-sponsorship from ONR/ARPA and NSF (through
CBCL, the Center for Biological and Computational Learning at MIT).
The Workshop is designed to serve as a regular forum for researchers
from universities and industry who are interested in interdisciplinary
research on neural networks for signal processing applications. NNSP95
offers a showcase for current research results in key areas, including
learning algorithms, network architectures, speech processing, image
processing, computer vision, adaptive signal processing, medical
signal processing, digital communications and other applications.
GENERAL CHAIRS
-- Federico Girosi
Center for Biological and Computational Learning,
Artificial Intelligence Laboratory, MIT, E25-201, Cambridge, MA 02139
Tel: (617)253-0548, Fax: (617)258-6287, email: girosi@ai.mit.edu
-- John Makhoul
BBN Systems and Technologies
70 Fawcett Street, Cambridge, MA 02138
Tel: (617)873-3332, Fax: (617)873-2534, email: makhoul@bbn.com
PROGRAM CHAIR
-- Elias S. Manolakos
Communications and Digital Signal Processing (CDSP)
Center for Research and Graduate Studies
409 Dana Build., Electrical and Computer Engineering Department
Northeastern University, Boston, MA 02115
tel: (617)373-3021, fax: (617)-373-4189, email: elias@cdsp.neu.edu
PROCEEDINGS CHAIR
-- Elizabeth J. Wilson, Raytheon Co.
Marlborough, MA, email: bwilson@sud2.ed.ray.com
FINANCE CHAIR
-- Judy Franklin, GTE Laboratories Incorporated
Waltham, MA 02254, email: jfranklin@gte.com
PUBLICITY CHAIR
-- Marney Smyth , MIT, email: marney@ai.mit.edu
LOCAL ARRANGEMENTS CHAIR
-- Mary Pat Fitzgerald , MIT, email: marypat@ai.mit.edu
TECHNICAL PROGRAM COMMITTEE
Joshua Alspector (Bellcore, USA)
Charles Bachmann (Naval Research Lab., USA)
Alice Chiang (MIT Lincoln Lab., USA)
A. Constantinides (Imperial College, UK)
Lee Giles (NEC Research, USA)
Federico Girosi (CBCL, MIT, USA)
Lars Kai Hansen (Tech. U. of Denmark, Denmark)
Yu-Hen Hu (U. of Wisconsin, USA)
Jenq-Neng Hwang (U. of Washington, USA)
Bing-Huang Juang (AT&T Bell Lab., USA)
Shigeru Katagiri (ATR Japan)
George Kechriotis (Thinking Machines Inc., USA)
Stephanos Kollias (National Tech. U. of Athens, Greece)
Sun-Yuan Kung (Princeton U., USA)
Gary M. Kuhn (Siemens Corp. Research, USA)
Richard Lippmann (MIT Lincoln Lab., USA)
John Makhoul (BBN Lab., USA)
Elias Manolakos (CDSP, Northeastern U., USA)
P. Takis Mathiopoulos (U. of British Columbia, Canada)
Mahesan Niranjan (Cambridge U., UK)
Tomaso Poggio (CBCL, MIT, USA)
Jose Principe (U. of Florida, USA)
Wojtek Przytula (Hughes Research Lab., USA)
John Sorensen (Tech. U. of Denmark, Denmark)
Andreas Stafylopatis (National Tech. U. of Athens, Greece)
John Vlontzos (Intracom S.A., Greece)
Raymond Watrous (Siemens Corp. Research, USA)
Christian Wellekens (Eurecom, France)
Ron Williams (Northeastern U., USA)
Barbara Yoon (ARPA, USA)
Xinhua Zhuang (U. of Missouri, USA)
TENTATIVE ADVANCE PROGRAM OF NNSP'95, CAMBRIDGE MA, USA
-------------------------------------------------------
****** THURSDAY AUGUST 31st, 1995 ******
8:30 am -- 8:45 am
OPENING REMARKS: Federico Girosi
8:45 am -- 9:30 am
PLENARY TALK 1: "Learning from Hints"
-- Yaser Abu-Mostafa, Caltech, USA
9:30 am -- 9:50 am Coffee Break
9:50 am -- 10:50 am
THEORY 1: (Oral Presentations)
Missing Data in Nonlinear Time-Series Prediction
-- Volker Tresp
-- Central Research,Siemens AG, Germany
Non-Linear Time Series Modeling with Self-Organization Feature Maps
-- Jose C. Principe, Ludong Wang
-- University of Florida, USA
Neural Networks for Function Approximation
-- H.N. Mhaskar, L. Khachikyan
-- California State University Los Angeles, USA
10:50 am -- 11:30 am
THEORY 2: (3-minute oral preview of poster presentations)
Simultaneous Design of Feature Extractor and Pattern
Classifier Using the Minimum Classification Error Training Algorithm
-- K.K.Paliwal, M. Bacchiani, Y. Sagisaka
-- ATR Interpreting Communications Laboratories, Japan
Discriminative Subspace Method for Minimum Error Pattern Recognition
-- Hideyuki Watanabe, Shigeru Katagiri
-- ATR Interpreting Telecommunications Research Labs, Japan
A unifying view of Stochastic Approximation Kalman Filter and
Backpropagation
-- Enrico Capobianco
-- Statistics Department, University of Padua, Italy
Globally-Ordered Topology-Preserving Maps Achieved with a
Learning Rule Performing Local Weight Updates Only
-- Marc M. Van Hulle
-- Laboratorium voor Neuro-en Psychofysiologie, K.U. Leuven, Belgium
A Self-Organizing System for the Development of Neural Network
Parameter Estimators
-- Michael Manry
-- The University of Texas at Arlington, USA
Recognition of Oscillatory Signals Using a Neural Network Oscillator
-- Masakazu Matsugu, Chi-Sang Poon
-- Imaging Research Center, Canon Inc., Japan
Principal Feature Classification
-- Donald W. Tufts, Qi Li
-- University of Rhode Island, USA
A Habituation Based Neural Network Structure for Classifying
Spatio-Temporal Patterns
-- Bryan W. Stiles, Joydeep Ghosh
-- The University of Texas at Austin, USA
A Numerical Approach for Estimating Higher Order Spectra Using
Neural Network Autoregressive Model
-- Naohiro Toda, Shiro Usui
-- Toyohashi University of Technology, Japan
Fuzzy Neural Network Approach Based on Dirichlet Tesselations
for Nearest Neighbor Classification of Patterns
-- K. Blekas, A. Likas, A. Stafylopatis
-- National Technical University of Athens, Greece
The Dynamics of Associative Memory with a Self-Consistent Noise
-- Ioan Opris
-- Department of Physics, University of Bucharest, Romania
Recursive Nonlinear Identification using Multiple Model Algorithm
-- Visakan Kadirkamanathan
-- University of Sheffield, UK
11:30 am -- 12:30 pm
THEORY 2: (poster presentations)
12:30 pm -- 2:00 pm LUNCH BREAK
2:00 pm -- 2:45 pm
PLENARY TALK 2: "Regularization: Theory and New Algorithms"
-- John Moody, Oregon Graduate Institute, USA
2:45 pm -- 4:05 pm
SPEECH PROCESSING: (Oral Presentations)
Speaker Verification using Phoneme-Based Neural Tree Networks
and Phonetic Weighting Scoring Method
-- Han-Sheng Liou, Richard J. Mammone
-- CAIP Center, Rutgers University, USA
Scaling Down: Applying Large Vocabulary Hybrid HMM-MLP
Methods to Telephone Recognition of Digits and Natural Numbers
-- Kristine Ma, Nelson Morgan
-- International Computer Science Institute, Berkeley, USA
Combining Local PCA and Radial Basis Function Networks for
Speaker Normalization
-- Cesare Furlanello, D. Giuliani
-- Instituto per La Ricerca Scientifica e Tecnologica, Italy
Discriminatory Measures for Speaker Recognition
-- Kevin R. Farrell
-- Dictaphone Corporation, Stratford, CT, USA
4:05 pm -- 4:25 pm Coffee Break
4:25 pm -- 4:50pm
THEORY AND SPEECH PROCESSING: (3-minute oral preview of poster
presentations)
Mutual Information in a Linear Noisy Network
-- Alessandro Campa, Paolo Del Giudice, Nestor Parga,
Jean-Pierre Nadal
-- Istituto Superiore di Sanita and INFN Sezione Sanita, Italy
Constrained Pole-Zero Filters as Discrete-Time Operators for
System Approximation
-- Andrew D. Back,Ah Chung Tsoi
-- University of Queensland, Australia
Prior Knowledge and the Creation of "Virtual" Examples for RBF
Networks
-- F. Girosi, N. Chan
-- MIT Artificial Intelligence Laboratory, USA
From Artificial Neural Network Inversion to Hidden Markov
Model Inversion: Application to Robust Speech Recognition
-- Seokyong Moon, Jenq-Neng Hwang
-- University of Washington, USA
Hierarchical Mixtures of Experts Methodology Applied to
Continuous Speech Recognition
-- Ying Zhao, Richard Schwartz, Jason Sroka, John Makhoul
-- BBN Systems and Technologies, Cambridge, MA, USA
A Speech Recognizer with Low Complexity Based on RNN
-- Claus Kasper, Herbert Reininger, Dietrich Wolf, Harald Wust
-- J.W. Goethe-Universitat Frankfurt, Germany
Automatic Speech Segmentation Using Neural Tree Network (NTN)
-- Manish Sharma, Richard Mammone
-- CAIP Center, Rutgers University, USA
4:50pm -- 5:30 pm
THEORY AND SPEECH PROCESSING (Poster Presentations)
7:30pm -- 9:30 pm
PANEL DISCUSSION: "Why Neural Networks are not Dead"
-- Moderator: Gary Kuhn (Siemens,Princeton, NJ)
-- Participants:
T.Poggio, MIT
S. Grossberg, BU
J. Makhoul, BBN
P. Ienne, EPFL
N. Morgan, ICSI
S. Katagiri, ATR
****** FRIDAY SEPTEMBER 1st, 1995 ******
8:30 am -- 9:15 am
PLENARY TALK 3: "Neural Networks for Electronic Eyes"
-- S.Y. Kung, Princeton University, USA
9:15 am -- 9:35 am Coffee Break
9:35 am -- 10:55 am
IMAGE PROCESSING / COMPUTER VISION (Oral Presentations)
Motion Estimation and Segmentation using a Recurrent Mixture
of Experts Architecture
-- Yair Weiss,Edward H. Adelson
-- Department of Brain and Cognitive Sciences, MIT, USA
Using perceptron-like algorithms for the analysis and
parameterization of object motion
-- M. Mattavelli,E. Amaldi
-- Swiss Federal Institute of Technology, Switzerland
A Multiple Scale Neural System for Boundary and Surface
Representation of SAR Data
-- Stephen Grossberg, Ennio Mingolla, James Williamson
-- Department of Cognitive and Neural Systems, Boston University, USA
A Neural Network Approach to Face/Palm Recognition
-- S.Y. Kung, M. Fang, S.H. Lin
-- Princeton University, USA
10:55 am -- 11:30 am
IMAGE PROCESSING / COMPUTER VISION (3-minute oral preview of poster
presentations)
A Probabilistic DBNN with Applications to Sensor Fusion and
Object Recognition
-- Shang-Hung Lin, Long-Ji Lin, S.Y. Kung
-- Princeton University, USA
Sample Weighting when Training Self-Organizing Maps for Image
Compression
-- Jari Kangas
-- Helsinski University of Technology, Finland
Estimating Image Velocity with Convected Activation Profiles:
Analysis and Improvements for Special Cases
-- Robert K. Cunningham, Allen M. Waxman
-- Machine Intelligence Group, MIT Lincoln Laboratory, USA
Pruning Projection Pursuit Models for Improved Cloud Detection
in AVIRIS Imagery
-- Charles M. Bachmann, Eugene E. Clothiaux, John W. Moore,
Dong Q. Luong
-- Airborne Radr Branch Code 5365, Naval Research Laboratory, USA
A New Learning Scheme for the Recognition of Dynamic
Handwritten Characters
-- Fidimahery Andrianasy, Maurice Milgram
-- PARC/UPMC, France
Velocity Measurement of Granular Flow with a Hopfield Network
-- Jingeol Lee, Jose C. Principe, Daniel M. Hanes
-- University of Florida, USA
Neural Network Based Image Segmentation for Image Interpolation
-- Stefano Marsi, Sergio Carrato
-- University of Trieste, Italy
Learning a Distribution-based Face Model for Human Face Detection
-- Kah-Kay Sung, Tomaso Poggio
-- MIT Artificial Intelligence Laboratory, USA
Action-Based Neural Networks for Effective Recognition of Images
-- Vassilios N. Alexopoulos, Stefanos D. Kollias
-- National Technical University of Athens, Greece
Feature-Locked Loop and its Application to Image Databases
-- Alex Sherstinsky, Rosalind W. Picard
-- Media Laboratory, MIT, USA
An Error Diffusion Neural Network for Digital Image Halftoning
-- Barry L. Shoop, Eugene K. Ressler
-- United States Military Academy, USA
11:30 am -- 12:30 pm
IMAGE PROCESSING / COMPUTER VISION (Poster Presentations)
12:30 pm -- 2:00 pm LUNCH BREAK
2:00 pm -- 2:45 pm
PLENARY TALK 4: "Learning algorithms for probabilistic trees, chains,
and networks"
-- Michael I. Jordan, MIT, USA
2:45 pm -- 4:05 pm
OTHER APPLICATIONS (Oral Presentations)
Estimation of the Glucose Metabolism from Dynamic PET-Scans
Using Neural Networks
-- Claus Svarer, Soren Holm, Niels Morch, Olaf Paulson and L.K. Hansen
-- Department of Neurology, The University of Kopenhagen, Denmark
Nonlinear Echo Cancellation Using a Partial Adaptive Time
Delay Neural Network
-- A.N. Birkett, R.A. Goubran
-- Carleton University, Canada
Customized ECG Beat Classifier Mixture of Experts
-- Yu Hen Hu, Surekha Palreddy, Willis J. Tompkins
-- University of Wisconsin, USA
Semiautomated Extraction of Decision Relevant Features from a
Raw Data Based Artificial Neural Network Demonstrated by the Problem
of Saccade Detection in EOG Recordings of Smooth Pursuit Eye
Movements
-- Peter K. Tigges, Norbert Kathmann, Rolf R. Engel
-- Psychiatric Clinic, University of Munich, Germany
4:05 pm -- 4:25 pm Coffee Break
4:25 pm -- 5:05 pm
OTHER APPLICATIONS / IMPLEMENTATIONS (3-minute oral preview of poster
presentations)
EEG Signal Classification with Different Signal Representations
-- Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolc
-- Colorado State University, USA
Design and Evaluation of Neural Classifiers - Application to
Skin Lesion Classification
-- Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Eric Olesen and
-- Krzysztof T. Drzewiecki
-- Technical University of Denmark, Denmark
A Study of the Application of the CMAC Artificial Neural
Network to the Problem of Gas Sensor Array Calibration
-- Parag M. Bajaria, Bruce E. Segee
-- University of Maine, USA
Classification of Gamma Ray Signals Using Neural Networks
-- N.G. Bourbakis, A. Tacsillo, M. Tacsillo
-- AAAI LAb., Binghamton University, USA
Adaptive Preprocessing for On-Line Learning with Adaptive
Resonance Theory (ART) Networks
-- Harald Ruda, Magnus Snorasson
-- Cognitive and Neural Systems Department, Boston University, USA
Intelligent Network Monitoring
-- Cynthia S. Hood, Chuanyi Ji
-- Rensselaer Polytechnic Institute, USA
A Robust Backward Adaptive Quantizer
-- Dominique Martinez, Woodward Yang
-- Division of Applied Sciences, Harvard University, USA
A Maximum Partial Likelihood Framework for Channel
Equalization by Distribution Learning
-- Tulay Adali, Xiao Liu, Kemal Sonmez
-- University of Maryland Baltimore County, USA
Constructive Neural Network Design for the Solution of Two
State Classification: Problems with Application to Channel
Equalization
-- Catherine Z.W. Hassell Sweatman, Gavin J. Gibson, Bernard Mulgrew
-- University of Edinburgh, UK
A Parallel Mapping of Backpropagation Algorithm for Mesh
Signal Processor
-- Shoab A. Khan, Vijay K. Madisetti
-- Georgia Institute of Technology, USA
Digital Neuroimplementations of Visual Motion-Tracking Systems
-- Anna Maria Colla, Luca Trogu, Rodolfo Zunino
-- University of Genova, Italy
Level Crossing Time Interval Circuit for Micropower Analog
VLSI Auditory Processing
-- Nagendra Kumar, Gert Cauwenberghs, Andreas G. Andreou
-- Johns Hopkins University, USA
5:05 pm -- 6:05 pm
OTHER APPLICATIONS / IMPLEMENTATIONS (Poster Presentations)
7:00 pm GALA DINNER: Grand Clam Bake
--------------------
****** SATURDAY SEPTEMBER 2nd, 1995 ******
8:30 am -- 9:15 am
PLENARY TALK 5: "Structure of Learning Theory"
-- Vladimir Vapnik, AT@T Bell Labs, USA
9:15 am -- 9:35 am Coffee Break
9:35 am -- 10:35 am
COMMUNICATIONS (Oral Presentations)
Optimum Lag and Subset Selection for Radial Basis Function Equaliser
-- Eng-Siong Chng, Bernard Mulgrew, Shen Chen, Gavin Gibson
-- The University of Edinburgh, UK
Channel Equalization by Finite Mixtures and EM Algorithm
-- Lei Xu
-- The Chinese University of Hong Kong, Hong Kong
Comparison of a Neural Network based Receiver to the Optimal
and Multistage CDMA Multiuser Detectors
-- George Kechriotis, Elias S. Manolakos
-- Northeastern University, USA
10:35 am -- 11:55 am
THEORY 3 (Oral Presentations)
Empirical Generalization Assessment of Neural Network Models
-- Jan Larsen, Lars Kai Hansen
-- Technical University of Denmark, Denmark
Active Learning the Weights of a RBF Network
-- Kah-Kay Sung, Partha Niyogi
-- MIT Artificial Intelligence Laboratory, USA
A Novel Approach to Pattern Recognition Based on Discriminative Metric Design
-- Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri
-- ATR Interpreting Telecommunications Research Laboratories, Japan
A Maximum Entropy Approach for Optimal Statistical Classification
-- David Miller, Ajit Rao, Kenneth Rose, Allen Gersho
-- University of California Santa Barbara, USA
******************** END OF ADVANCE TECHNICAL PROGRAM *****************
NNSP95 REGISTRATION FORM
------------------------------
1995 IEEE Workshop on
Neural Networks for Signal Processing
August 31, 1995 - September 2, 1995
Cambridge, Massachusetts USA
Please complete this form (type or print)
Name ___________________________________________________
Last First Middle
Firm or University ______________________________________
Mailing Address _________________________________________
__________________________________________________________
__________________________________________________________
Country Phone FAX
__________________________________________________________
email
Fee payment must be made by MONEY ORDER or PERSONAL CHECK.
All amounts are given in US dollar figures. Make fee payable
to "IEEE NNSP95 - c/o Judy A. Franklin". Mail it, together
with this completed Registration Form to:
Judy A. Franklin
GTE Laboratories
40 Sylvan Road
Waltham, MA 02254
USA
For further information, Dr. Franklin can be reached at
Tel.: 617-466-4246
FAX: 617-890-9320
e-mail: jfranklin@gte.com
Advanced registration before: June 2. DO NOT SEND CASH.
REGISTRATION FEE*
Date IEEE Member Non-member
Before June 2 U.S. $295 U.S. $345
Late Registration
(After June 2) U.S. $345 U.S. $395
* Registration fee includes Workshop Proceedings, breakfast
and all coffee breaks, and the Grand Clam Bake on 9/1/95.
* On-site registration is possible, at *late registration*
fees (see above). Payment of late registration must be
in US Dollar amounts, by Money Order or Check (preferably
drawn on a US Bank account).
***************************************************************************
HOTEL ACCOMMODATION
NNSP95 will be held at the Royal Sonesta Hotel, Cambridge, MA.
The hotel is centrally located overloooking the Charles River, and offers
very nice views of Boston and Cambridge.
Hotel accommodations are the responsibility of each participant.
The Royal Sonesta Hotel has reserved a block of rooms for this
event. The special room rates for NNSP95 participants are: Single
U.S. $130.00 per night+ Double U.S. $130.00 per night+
Please be aware that these prices do not include Massachusetts State
tax (5.7%) and a city tax (4%).
There are a number of important points to be aware of with regard to
hotel reservations for the Workshop:
* All reservation will be held until 6pm on the day of arrival, unless
guaranteed for late arrival. Guaranteed reservations will be held for
the night of arrival only. If you fail to take up your reservation,
you will be charged for one night's room, with tax .
* These special rates apply between August 29th and September 2nd,
inclusive.
* After July 29 there is no guarantee that rooms are available, so we
strongly recommend making reservations early.
* You must quote your participation in the IEEE Workshop on Neural
Networks for Signal Processing when booking the room, in order to
qualify for this special rate.
To make reservations, call the hotel directly at: 617-491-3600
The address of the hotel is:
Royal Sonesta Hotel
5 Cambridge Parkway
Cambridge, MA 02142
phone: 617-491-3600
fax: 617-661-5956
****************************************************************************
TRAVEL INFORMATION
Possible ways to get to the Royal Sonesta are:
* From the North via Route 93 South: Take 93 South to Exit 26,
"Cambridge/Somerville & Storrow Drive", Follow directions below "From
the South".
* From the Airport:Take the main airport roadway (one way) and follow
the signs for "Sumner Tunnel, Boston/Rt. 93 North." Go through the
tunnel and take an immediate right onto 93 North. Follow directions
below "From the South"
* From the South via route 93 north: Take 93 North through Boston to
Exit 26, "Cambridge/Somerville & Storrow Drive." Go down and around
exit ramp and stay to the far right, following signs for Cambridge. DO
NOT GET ON STORROW DRIVE. At the end of the ramp, at a set of lights,
take a left onto Nashua Street (you will pass beneath the bridge on
which there is a sign for the Museum of Science) and take immediate
right on Rt. 28 North/O'Brien Highway. Go past the Museum of Science
and at the first set of lights take a left on Edwin Land Blvd. The
Royal Sonesta is on the left, across the street from the Cambridgeside
Galleria Mall.
* From the West via Mass. Turnpike/Route 90 East: Take the
Mass. Turnpike to Exit 18, "Allston/Cambridge" (left-sided exit). Go
through the toll booth and bear right, following signs for Cambridge
and Somerville. Proceed through two sets of lights and go straight
over the River Street Bridge, crossing over the Charles River, and
take an immediate right on Memorial Drive East (the Mobil Gas station
will be in front of you). At the first split stay in the left lane
and proceed over the bridge ("Cars Only"). At the second split,
shortly after the Hyatt Regency Hotel on left, stay left and go under
the overpass ("Cars Only"). Move immediately to the right lane and
bear to the right at the last split. Memorial Drive now turns into
Edwin Lane Blvd. Proceed under the Longfellow Bridge and the Royal
Sonesta Hotel will be on your right at the second set of lights.
* From the West via Route 2 East: Take Rt. 2 East and follow signs for
"Watertown/Boston & Rt. 3." You will pass the Alewife train station on
the right. At the rotary stay to the left and continue on Route 3;
merge onto Memorial Drive East (the CHarles River will be on the
right). Follow directions according to "From the West via Mass Pike"
(above).
Parking:
The Royal Sonesta has two parking garages to accommodate guests and
visitors. If the internal garage is full, the parking attendant in
the booth will direct you across the street to the Cambridgeside
Galleria Mall, in which the hotel has a small parking section.
------------------------------
End of VISION-LIST digest 14.22
************************
