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VISION-LIST Digest 1988 09 19
Vision-List Digest Mon Sep 19 20:16:14 PDT 1988
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Today's Topics:
Real-time Data Acquisition
Sixth International Workshop on Machine Learning
Neural Networks & Visual Motion Perception
Colloquium on Neural Net Applications
How to connect SUN 3-160M and Imaging technology's series 151
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Date: Tue, 13 Sep 88 13:11:56 MDT
From: seida@martin-den.ARPA (Steven Seida)
Subject: real-time data acquisition
I was wondering if anybody out there knows of a system that will record
rgb digital data in real-time plus some ancillary position information. An
inexpensive medium is of course preferred since it would be useful to
be able to share this data with other folks.
Although something off the shelf is preferred, I can also consider
systems that are close to suitable. I do want to record all three
full 512 square images at near 30 times per second.
All of these desires are just that, they are not requirements and any
information along these lines would be helpful.
[ If you want digital data, I can only think of still-store systems or
hard disk systems with flash A/D converters (e.g., the Gould IP8500).
Both of these approaches are expensive and are limited to short
sequences (30 seconds?).
If you are willing to record the data in analog, then digitize
it at less than real-time, you could use a high quality broadcast
VCR (e.g., the Panasonic MKII, but pricey at around ~$60K). A cheaper
and easier approach would be to record to a videodisc recorder (e.g.,
the Panasonic TQ-2026F videodisc recorder. It has good random frame
access, is less expensive (~$13K), is easily driven from a computer using
its RS232 port; on the bad side, image resolution isn't so good (300
lines for color and mid-400s for B/W recorder, and drop out can be a
problem for videodisc recorders.
That's all I can think of Steve.
phil... ]
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Date: Wed, 14 Sep 88 10:52:04 EDT
From: segre@gvax.cs.cornell.edu (Alberto M. Segre)
Subject: Workshop on Machine Learning
Call for Topics:
Sixth International Workshop on Machine Learning
Cornell University
Ithaca, New York; U.S.A.
June 29 - July 1, 1989
The Sixth International Workshop on Machine Learning will be
held at Cornell University, from June 29 through July 1, 1989.
The workshop will be divided into four to six disjoint sessions,
each focusing on a different theme. Each session will be chaired
by a different member of the machine learning community, and will
consist of 30 to 50 participants invited on the basis of
abstracts submitted to the session chair. Plenary sessions will
be held for invited talks.
People interested in chairing one of the sessions should
submit a one-page proposal, stating the topic of the session,
sites at which research is currently done on this topic,
estimated attendance, format of the session, and their own
qualifications as session chair. Proposals should be submitted
by November 1, 1988 to the program chair:
Alberto Segre
Department of Computer Science
Cornell University, Upson Hall
Ithaca, NY 14853-7501 USA
Telephone: (607) 255-9196
Electronic mail should be addressed to "ml89@cs.cornell.edu" or
"segre@gvax.cs.cornell.edu". The organizing committee will
evaluate proposals on the basis of perceived demand and their
potential impact on the field. Topics will be announced by early
1989, at which time a call for papers will be issued. Partial
travel support may be available for some participants.
------------------------------
Date: 16 Sep 88 18:43:54 GMT
From: jam@bu-cs.BU.EDU (Jonathan Marshall)
Subject: Neural Networks & Visual Motion Perception
Summary: Tech report available
Keywords: self-organization, neural networks, visual motion, aperture problem
Organization: Boston University
The following material is available as Boston University Computer
Science Department Tech Report #88-010. It may be obtained from
rmb@bu-cs.bu.edu or by writing to Regina Blaney, Computer Science
Dept., Boston Univ., 111 Cummington St., Boston, MA 02215, U.S.A.
I think the price is $7.00.
SELF-ORGANIZING NEURAL NETWORKS
FOR PERCEPTION OF VISUAL MOTION
Jonathan A. Marshall
ABSTRACT
The human visual system overcomes ambiguities, collectively known as
the aperture problem, in its local measurements of the direction in
which visual objects are moving, producing unambiguous percepts of
motion. A new approach to the aperture problem is presented, using an
adaptive neural network model. The neural network is exposed to
moving images during a developmental period and develops its own
structure by adapting to statistical characteristics of its visual
input history. Competitive learning rules ensure that only connection
``chains'' between cells of similar direction and velocity sensitivity
along successive spatial positions survive. The resultant
self-organized configuration implements the type of disambiguation
necessary for solving the aperture problem and operates in accord with
direction judgments of human experimental subjects. The system not
only accommodates its structure to long-term statistics of visual
motion, but also simultaneously uses its acquired structure to
assimilate, disambiguate, and represent visual motion events in
real-time.
---
I am now at the Center for Research in Learning, Perception, and
Cognition, 205 Elliott Hall, University of Minnesota, Minneapolis,
MN 55414. I can still be reached via my account jam@bu-cs.bu.edu .
--J.A.M.
------------------------------
Date: 15 Sep 88 18:00:42 GMT
From: cook@Alliant.COM (Dale C. Cook)
Subject: Colloquium on Neural Net Applications
Organization: Alliant Computer Systems, Littleton, MA
[ Reposted from comp-neuron. phil... ]
ANNOUNCING:
A colloquium on Practical Neural Network Applications in Signal
and Image Processing
ORGANIZED BY:
Ben Passarelli
Alliant Computer Systems Company
One Monarch Drive
Littleton, MA 01460
WHERE:
The Hyatt Regency, Burlingame, CA
WHEN:
Reception and meet the speakers: Sunday, October 30
Presentations: Monday and Tuesday, October 31 and Novemeber 1
8:30 am till 5:00 pm
SPEAKERS AND TOPICS:
Signal Processing and Neural Networks (KEYNOTE)
Professor Bernard Widrow
Department of Electrical Engineering
Stanford University
Neurons and Schemas: A Language for Visuomotor Coordination
Professor Michael A. Arbib
Director, Center for Neural Engineering
University of Southern California
Learning and Generalization in Connectionist Algorithms
Professor David E. Rumelhart
Department of Psychology
Stanford University
Cognitive Software for Neural Networks
Professor James A. Anderson
Department of Psychology
Brown University
Variation and Selection: An Evolutionary Learning Model for
Signal Matching with Neural Networks
Dr. Aviv Bergman
SRI International
Image Processing Using a Multi-Staged Neural Network Vision System
Dr. Douglas Reilly
Brown University and Nestor, Inc.
Topic To Be Announced
Professor Donald A. Glaser
Nobel Laureate
Department of Physics
University of California
Neural Network Dynamic Behavior Simulations for Vision Applications
Dr. Ken Johnson
Hughes Missile Systems Group
Non-Linear Signal Processing with Neural Networks
Dr. Alan Lapedes
Theoretical Divison
Los Alamos National Laboratories
Physiology, Non-Linear Dynamics, Symmetries, and Self-Similar
Structures in the Nervous System and Modeled Neural Networks
Dr. Albert F. Lawrence
Hughes Aircraft Company
Images and Fuzzy Neural Networks
Dr. Earl R. MacCormac
Executive Director
North Carolina Board of Science and Technology
Image Processing Applications
Dr. Robert Schudy
The Analytical Sciences Corporation (TASC)
ATR Neural Network Research on Speech Processing
Dr. Yoh'ichi Tohkura
Head of the Hearing and Speech Perception Department
Advanced Telecommunications Research Institute International
Panel Discussion on Commercializing Neural Network Applications
Thomas J. Schwartz, Moderator
Tom Schwartz Associates
REGISTRATION:
Before September 30: $445
After: $495
Registration fee includes all conferences, meals and breaks and the
SF Bay cruise and reception, October 30.
Registration deadline: October 15
CONTACT:
Alliant Computer Systems Company
One Monarch Drive
Littleton, MA 01460
Ben Passarelli
(408) 295-7222 or EMAIL: ben@alliant.alliant.com
....linus!alliant!ben
Susan Ayers
(508) 486-1454 or EMAIL: ayers@alliant.alliant.com
...linus!alliant!ayers
--
- Dale N1US VOICE: (617) 486-1343
ARPA: cook@alliant.alliant.com SMAIL: 1 Monarch Drive
UUCP: ...linus!alliant!cook Littleton, MA 01460
------------------------------
Date: 19 Sep 88 22:19:17 GMT
From: piyush@cbnews.ATT.COM (Piyush C. Modi)
Subject: How to connect SUN 3-160M and Imaging technology's series 151
Organization: AT&T Bell Laboratories, Columbus
I am posting this item for the digital signal processing
lab. at the Univ. of Arizona.
We have a SUN 3-160M sytem running SUN OS 3.5 and BSD 4.?? UNIX system.
Is there any product in the market which will allow us to connect
the SUN system with the Imaging Technology's series 151 system.
It seems both SUN and Imaging Tech had promised the comapatibility.
After six months of frustration we have not found any solution.
If any body has any useful information please send an Email to me
at
att!asr2!piyush or
att!asr1!piyush
phone (614) 860-3460 (off)
(614) 237-5206 (home)
Also feel free to conatct
Dr. Robin Strickland
Univ. Of Arizona
Dept. of Elect and Comp Engg.
Tucson, AZ 85721
(602) 621-6191
Thank you very much in advance.
Piyush Modi
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End of VISION-LIST
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