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Date: 19 Sep 1988 20:16:14-PST
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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

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

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...		]


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

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


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

End of VISION-LIST
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