From Jose_Luis_Ferreira_@dei.uc.pt Sun Feb 16 09:57:35 1997
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From: Jose_Luis_Ferreira_@dei.uc.pt
To: bento@dei.uc.pt, bribeiro@dei.uc.pt, cpf@isr.isr.ist.utl.pt,
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        colt@cs.uiuc.edu, connectionists@cs.cmu.edu,
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        genetic-programming@cs.stanford.edu, hybrid-list@cs.ua.edu,
        ml@ics.uci.edu, mlnet@csd.abdn.ac.uk, nat@ura1507.univ-paris13.fr,
        neuron-request@CATTELL.PSYCH.UPENN.EDU, nl-kr@snyside.sunnyside.com,
        nonlin-l@list.nih.gov, reinforce@cs.uwa.edu.au,
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        webmaster@ai.iit.nrc.ca, ai-cbr@mailbase.ac.uk, ai-sges@mailbase.ac.uk
Subject: CFP- Workshop on Outdoors Robotics [connectionists]
Date: Fri, 14 Feb 1997 17:24:55 +0100

                        Call for Participation

                    The Workshop on Outdoors Robotics
                                OR'97

                  http://alma.uc.pt:80/~epia97/OR97.html

                        Under the auspices of the
     Portuguese Conference on Artificial Intelligence (EPIA'97) Coimbra,
                        Portugal, October 6-9, 1997


October, 8
Coimbra University, Physics Building

Workshop Objectives
-------------------

Over the last two decades there has been a significant research effort in
mobile robotics. This has resulted in that we today have technologies for
construction of mobile delivery systems for constrained environments.
Significant progress is still needed before these systems can be employed
in more complex settings, the basis technology is however available. Based
on this success more recent work has been directed towards use of robotics
for outdoor applications. The application potential is much more vast, but
the challenges are also much tougher. Typical applications range from
semi-autonomous wheelchairs, and support for car-drivers all the way to
autonomous operation in unstructed environments for tasks like mine
clearance, etc.

In an outdoor environment there is first of all a need for more general
techniques for locomotion as the traditional wheeled vehicle only is suited
for application in well structured environments. Another major area of
research is perception, as the environment no longer can be engineered to
suit the available technology. This implies that new sensory modalities
must be employed like radar and GPS, or alternatively that well known
sensory modalities for in-door application must be made much more adaptive
to cope with the rich perceptual input. Finally the issue of planning and
integration becomes much harder as the set of possible scenaria is much
richer and the set of unexpected situations to be considered becomes much
larger. An entirely new set of challenges must thus be addressed in the
construction of robots for out-door applications. This workshop will
feature presentations of a range of techniques that have been developed or
are under development for this area of applications.

OR'97 welcomes papers in English on the following topics:

 * Locomotion techniques
 * Perception
 * Planning and Integration
 * Sensors for outdoors navigation
 * Navigation
 * Representation

Workshop Format and Attendance Requirements
-------------------------------------------
The format of this one-day workshop will encourage interaction and
discussion between researchers. Papers in English, with no more
than 15 pages are welcome.

There will be about 8 to 10 technical presentations (half an hour
each), invited talks and a panel on Applications.

Attendees should be registred to the main EPIA conference.

Submit 3 copies of the full paper to the address below:

Prof. Helder Araujo
Instituto de Sistemas e Robotica - Dept. Engenharia Electrotecnica
Polo II-Pinhal de Marrocos
3030 COIMBRA
PORTUGAL 

English is the official language of the workshop. 

Important Dates:
---------------
May, 31: submissions due
July, 15: notifications sent
September, 8: final versions due


Workshop Chairs:

Henrik I. Christensen 			Helder Araujo
Center for Autonomous Systems,		University of Coimbra/ ISR
Stockholm 				Coimbra


Organizing Committee:
Jorge Dias
Urbano Nunes
Jorge Batista
Paulo Peixoto


From harnad@cogsci.soton.ac.uk Sun Feb 16 19:31:47 1997
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From: Stevan Harnad <harnad@cogsci.soton.ac.uk>
Date: Sun, 16 Feb 97 14:44:27 GMT
Message-Id: <20512.9702161444@cogsci.ecs.soton.ac.uk>
To: cogneuro@ptolemy-ethernet.arc.nasa.gov, colorcat@BrownVM.Brown.edu,
        connectionists@cs.cmu.edu, PSYCOLOQUY <psyc@pucc.princeton.edu>
Subject: Feature Creation: BBS Call for Commentators

    Below is the abstract of a forthcoming BBS target article on:

            THE DEVELOPMENT OF FEATURES IN OBJECT CONCEPTS

    by Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut

This article has been accepted for publication in Behavioral and Brain
Sciences (BBS), an international, interdisciplinary journal providing
Open Peer Commentary on important and controversial current research in
the biobehavioral and cognitive sciences.

Commentators must be BBS Associates or nominated by a BBS Associate. To
be considered as a commentator for this article, to suggest other
appropriate commentators, or for information about how to become a BBS
Associate, please send EMAIL to:

    bbs@cogsci.soton.ac.uk 

      or write to:

    Behavioral and Brain Sciences
    Department of Psychology
    University of Southampton
    Highfield, Southampton
    SO17 1BJ UNITED KINGDOM

    http://www.princeton.edu/~harnad/bbs/
    http://www.cogsci.soton.ac.uk/bbs/
    ftp://ftp.princeton.edu/pub/harnad/BBS/
    ftp://ftp.cogsci.soton.ac.uk/pub/bbs/
    gopher://gopher.princeton.edu:70/11/.libraries/.pujournals

If you are not a BBS Associate, please send your CV and the name of a
BBS Associate (there are currently over 10,000 worldwide) who is
familiar with your work. All past BBS authors, referees and commentators
are eligible to become BBS Associates.

To help us put together a balanced list of commentators, please give
some indication of the aspects of the topic on which you would bring
your areas of expertise to bear if you were selected as a commentator.
An electronic draft of the full text is available for inspection 
with a WWW browser, anonymous ftp or gopher according to the
instructions that follow after the abstract.
____________________________________________________________________

        THE DEVELOPMENT OF FEATURES IN OBJECT CONCEPTS

Philippe G. Schyns       Robert L. Goldstone       Jean-Pierre Thibaut
Psychology Dept.         Psychology Dept.          Psychology Dept.
Glasgow University       Indiana University        Universite de Liege
Glasgow G12 8QB UK       Bloomington IN 47405      4000 Liege BELGIUM
philippe@psy.gla.ac.uk   rgoldsto@ucs.indiana.edu  jthibaut@vm1.ulg.ac.be

    KEYWORDS:  Concept learning, conceptual development, perceptual
    learning, features, stimulus encoding

    ABSTRACT: According to an influential approach to cognition, our
    perceptual systems provide us with a repertoire of fixed features
    as input to higher-level cognitive processes. We present a theory
    of category learning and representation in which features, instead
    of being components of a fixed repertoire, are created under the
    influence of higher-level cognitive processes. When new categories
    need to be learned, fixed features face one of two problems: (1)
    High-level features that are directly useful for categorization may
    not be flexible enough to represent all relevant objects. (2)
    Low-level features consisting of unstructured fragments (such as
    pixels) may not capture the regularities required for successful
    categorization. We report evidence that feature creation occurs in
    category learning and we describe the conditions that promote it.
    Feature creation can adapt flexibly to changing environmental
    demands and may be the origin of fixed feature repertoires.
    Implications for object categorization, conceptual development,
    chunking, constructive induction and formal models of
    dimensionality reduction are discussed.

--------------------------------------------------------------
To help you decide whether you would be an appropriate commentator for
this article, an electronic draft is retrievable from the World Wide
Web or by anonymous ftp or gopher from the US or UK BBS Archive.
Ftp instructions follow below. Please do not prepare a commentary on
this draft. Just let us know, after having inspected it, what relevant
expertise you feel you would bring to bear on what aspect of the
article.

The URLs you can use to get to the BBS Archive:

    http://www.princeton.edu/~harnad/bbs/
    http://www.cogsci.soton.ac.uk/bbs/Archive/bbs.schyns.html
    ftp://ftp.princeton.edu/pub/harnad/BBS/bbs.schyns
    ftp://ftp.cogsci.soton.ac.uk/pub/bbs/Archive/bbs.schyns
    gopher://gopher.princeton.edu:70/11/.libraries/.pujournals

To retrieve a file by ftp from an Internet site, type either:
ftp ftp.princeton.edu
   or
ftp 128.112.128.1
   When you are asked for your login, type:
anonymous
   Enter password as queried (your password is your actual userid:
   yourlogin@yourhost.whatever.whatever - be sure to include the "@")
cd /pub/harnad/BBS
   To show the available files, type:
ls
   Next, retrieve the file you want with (for example):
get bbs.schyns
   When you have the file(s) you want, type:
quit


From ataxr@IMAP1.ASU.EDU Mon Feb 17 01:47:08 1997
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Message-Id: <199702170600.OAA18248@cs.uwa.oz.au>
From: Asim Roy <ataxr@IMAP1.ASU.EDU>
To: cogneuro@ptolemy-ethernet.arc.nasa.gov, alife@cognet.ucla.edu,
        annrules@fit.qut.edu.au, cogpsy@cogsci.soton.ac.uk, colt@cs.uiuc.edu,
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        gann-list@cs.iastate.edu, hybrid-list@cs.ua.edu, ml@ics.uci.edu,
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        nonlin-l@list.nih.gov, reinforce@cs.uwa.edu.au, cneuro@bbb.caltech.edu,
        colorcat@BrownVM.Brown.edu, psyc@pucc.princeton.edu
Cc: asim.roy@asu.edu
Subject: Does plasticity imply local learning? And other questions [connectionists]
Date: Sun, 16 Feb 1997 22:57:11 -0500 (EST)

A predominant belief in neuroscience is that synaptic plasticity 
and LTP/LTD imply local learning. It is a possibility, but it is 
not the only possibility. Here are some thoughts on some of the 
other possibilities (e.g. global learning mechanisms or a 
combination of global/local mechanisms) and some discussion on the 
problems associated with "pure" local learning. 

The local learning idea is a very core idea that drives research in 
a number of different fields. I welcome comments on the questions 
and issues raised here. 

This note is being sent to many listserves. I will collect all of 
the responses from different sources and redistribute them to all 
of the participating listserves. The last such discussion was very 
productive. It has led to the realization by some key researchers 
in the connectionist area that "memoryless" learning perhaps is not 
a very "valid" idea. That recognition by itself will lead to more 
robust and reliable learning algorithms in the future. Perhaps a 
more active debate on the local learning issue will help us resolve 
this issue too.

A) Does plasticity imply local learning? 

The physical changes that are observed in synapses/cells in 
experimental neuroscience when some kind of external stimuli is 
applied to the cells may not result at all from any  specific 
"learning" at the cells. The cells might simply be responding to a 
"signal to change" - that is, to change by a specific amount in a 
specific direction. In animal brains, it is possible that the 
"actual" learning  occurs in some other part(s) of the brain, say 
perhaps by a global learning mechanism. This global mechanism can 
then send "change signals" to the various cells it is using to 
learn a specific task. So it is possible that in these neuroscience 
experiments, the external stimuli generates signals for change 
similar to those of a global learning agent in the brain and that 
the changes are not due to "learning" at the cells themselves. 
Please note that scientific facts/phenomenon like LTP/LTD or 
synaptic plasticity can probably be explained equally well by many 
theories of learning (e.g. local learning vs. global learning, 
etc.). However, the correctness of an explanation would have to be 
judged from its consistency with other behavioral and biological 
facts, not just one single biological phenomemon or fact.

B) "Pure" local learning does not explain a number of other 
activities that are part of the process of learning!! 

When learning is to take place by means of "local learning" in a 
network of cells, the network has to be designed prior to its 
training. Setting up the net before "local" learning can proceed 
implies that an external mechanism is involved in this part of the 
learning process. This "design" part of learning precedes actual 
training or learning by a collection of "local learners" whose only 
knowledge about anything is limited to the local learning law to 
use! In addition, these "local learners" may have to be told what 
type of local learning law to use, given that a variety of 
different types can be used under different circumstances. Imagine 
who is to instruct such local learners which type of learning law 
to use? In 
addition to these, the "passing" of appropriate information to the 
appropriate set of cells also has to be "coordinated" by some 
external or global learning mechanism. This coordination cannot 
just happen by itself, like magic. It has to be directed from some 
place by some agent or mechanism.

In order to learn properly and quickly, humans generally collect 
and store relevant information in their brains and then "think" 
about it (e.g. what problem features are relevant, problem 
complexity, etc.). So prior to any "local learning," there must be 
processes in the brain that examine this "body of  
information/facts" about a problem in order to design the 
appropriate network that would fit the problem complexity, select 
the problem features that are meaningful, etc. It would be very 
difficult to answer the questions "What size net?" and "What 
features to use?" without looking at the problem in great detail. A 
bunch of "pure" local learners, armed with their local learning 
laws, would have no clue to these issues of net design, 
generalization and feature selection.

So, in the whole, there are a "number of activities" that need to 
be 
performed before any kind of "local learning" can take place. These 
aforementioned learning activities "cannot" be performed by a 
collection of "local learning" cells! There is more to the process 
of learning than simple local learning by individual cells. Many 
learning "decisions/tasks" must precede actual training by "local 
learners." A group of independent "local learners" simply cannot 
start learning and be able to reproduce the learning 
characteristics and processes of an "autonomous system" like the 
brain.

Local learning, however, is still a feasible idea, but only within 
a general global learning context. A global learning mechanism 
would be the one that "guides" and "exploits" these local learners. 
However, it is also possible that the global mechanism actually 
does all of the computations (learning) and "simply sends signals" 
to the network cells for appropriate synaptic adjustment. Both of 
these possibilities seem logical: (a) a "pure" global mechanism 
that learns by itself and then sends signals to the cells to 
adjust, or (b) a global/local combination where the global 
mechanism performs certain tasks and then uses the local mechanism 
for training/learning. 

Note that the global learning mechanism may actually be implemented 
with a collection of local learners!!

The basic argument being made here is that there are many tasks in 
a "learning process" and that a set of "local learners" armed with 
their local learning laws is incapable of performing all of those 
tasks. So local learning can only exist in the context of global 
learning and thus is only "a part" of the total learning process. 

It will be much easier to develop a consistent learning theory 
using the global/local idea.  The global/local idea perhaps will 
also give us a better handle on the processes that we call 
"developmental" and "evolutionary." And it will, perhaps, allow us 
to better explain many of the puzzles and inconsistencies in our 
current body of discoveries about the brain. And, not the least, it 
will help us construct far better algorithms by removing the 
"unwarranted restrictions" imposed on us by the current ideas. Any 
comments 
on these ideas and possibilities are welcome.
	

Asim Roy
Arizona State University



From becker@curie.psychology.mcmaster.ca Mon Feb 17 13:34:25 1997
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Date: Sun, 16 Feb 1997 20:58:15 -0500 (EST)
From: Sue Becker <becker@curie.psychology.mcmaster.ca>
Reply-To: Sue Becker <becker@mcmaster.ca>
To: connectionist <Connectionists@cs.cmu.edu>,
        comp-neuro@smaug.bbb.caltech.edu,
        cogneuro@ptolemy-ethernet.arc.nasa.gov
Subject: COMPUTATIONAL NEUROSCIENCE POSTDOCTORAL POSITION AVAILABLE
Message-ID: <Pine.SGI.3.95.970216205423.13345C-100000@curie.psychology.mcmaster.ca>
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII


   COMPUTATIONAL NEUROSCIENCE POSTDOCTORAL POSITION AVAILABLE
                   Department of Psychology
                     McMaster University

A postdoctoral position is open in the Psychology Department of
McMaster University, Hamilton, Ontario.  A multidisciplinary
approach will be taken to develop biologically plausible models of
hippocampal and neocortical memory systems. Projects will include
developing simulations of cortical-cortical and subcortical-cortical
interactions during learning and information storage.  In addition
to our focus on processing in hippocampal-cortical systems, we are
also investigating and modelling the role of cortico-thalamic
back-projections.  Research projects will be conducted in close
collaboration with R. Racine, a neuroscientist, S.  Becker, a
computational modeller, S. Haykin, an electrical engineer, and
G. Gerstein, a computational neuroscientist.  The primary goal of
this collaborative effort is to build powerful learning algorithms
in neural networks which are based on rules suggested by both memory
research and physiology research (e.g. LTP work). Racine's
laboratory has recently provided the first demonstrations of LTP in
the neocortex and cortico-thalamic connections in chronic
preparations.  The rules that apply to LTP induction in these
systems are quite different from those determined for the
hippocampus.  An optional component of this postdoctoral position
would be participation in further experimental investigations of
neocortical LTP in either slice or in vivo preparations.
   
This project is funded by a collaborative research grant from the
Natural Sciences and Engineering Research Council of Canada to
R. Racine, G. Gerstein, S. Haykin and S. Becker.  Please send
curriculum vitae, expression of interest, and the names and e-mail
or phone numbers of three references to Ron Racine at
racine@mcmail.cis.mcmaster.ca



From Gerhard.Paass@gmd.de Mon Feb 17 20:18:41 1997
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Date: Mon, 17 Feb 1997 11:48:15 +0100
From: Gerhard Paass <Gerhard.Paass@gmd.de>
Message-Id: <199702171048.AA02418@sein.gmd.de>
To: connectionists@cs.cmu.edu
Subject: CfP: Interdisciplinary College IK'97
Cc: paass@borneo.gmd.de
X-Sun-Charset: US-ASCII


Call for Participation

	Interdisciplinary College  IK'97

This conference aims at establishing a link between four subjects:
biology of neurons, neural information science, artificial
intelligence and cognitive psychology. Leading scientists of each
field provide introductory courses on each subject and give an in-depth
account of current developments. In addition six interdisciplinary
courses between each of the areas are offered, where two scientists of
each field give an integrative view.

Conference Language:	German

Time:			March 15.-22.th 1997, 

Location:		Guenne/Moehnesee, close to Dortmund/Germany

Deadline for Registration: Feb. 28th (payment of conference fees)

WWW: http://www.informatik.uni-ulm.de/ni/ik97.html

From georg@ai.univie.ac.at Mon Feb 17 20:18:49 1997
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From: Georg Dorffner <georg@ai.univie.ac.at>
Message-Id: <199702171706.SAA21667@jedlesee.ai.univie.ac.at>
Subject: Open position: NN for time series processing
To: connectionists@cs.cmu.edu
Date: Mon, 17 Feb 1997 18:06:52 +0100 (MET)
X-Mailer: ELM [version 2.4 PL25]
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The Neural Networks Group at the Austrian Research Institute for Artificial 
Intelligence in Vienna, Austria, has an immediate opening for a position on

   Neural Networks for Time Series Processing and Economic Modeling

as part of the larger initiative "Adaptive Models in Economics and 
Management Science" (http://www.wu-wien.ac.at/am/am.html). The goal is to 
investigate the capabilities of recurrent neural nets in modeling economic 
processes, including their use in multi-agent simulations, with a focus on 
learning algorithms, adaptivity, and mixture-of-expert approaches.

Required background:

- knowledge in practical time series processing (e.g. ARMA, 
  state space models, etc.)
- basic knowledge in neural networks and programming
- Ph.D. degree or comparable doctorate
- research experience

Desired background:

- publications in the field
- basic knowledge in economic modeling
- basic knowledge in statistics
- experience in a UNIX environment
- basic understanding knowledge of German

The position will be available for up to three years, with a monthly 
salary of about 18.000 ATS (approx. 1500 US$) per month, 14 times a year,
after tax.

Interested applicants should apply by email, mail or fax, no later
than March 5, 1997 at the address below. Include a short vita, a list
of publications, and any other information demonstrating your
qualification.

Send applications to:

Georg Dorffner
Austrian Research Institute for Artificial Intelligence
Schottengasse 3
A-1010 Vienna
phone: +43-1-53532810
fax: +43-1-5320652
email: georg@ai.univie.ac.at


This position is funded by the Austrian Fonds zur Foerderung der 
wissenschaftlichen Forschung.
From reggia@cs.umd.edu Mon Feb 17 20:18:51 1997
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	id PAA16491; Mon, 17 Feb 1997 15:11:29 -0500 (EST)
Date: Mon, 17 Feb 1997 15:11:29 -0500 (EST)
From: "James A. Reggia" <reggia@cs.umd.edu>
Message-Id: <199702172011.PAA16491@avion.cs.umd.edu>
To: .edu@cs.umd.edu, Connectionists@cs.cmu.edu,
        ai-medicine@vuse.vanderbilt.edu,
        neuron-request@CATTELL.psych.upenn.edu, reggia@cs.umd.edu
Subject: New Book: Neural Modeling of Brain and Cognitive Disorders


NEURAL MODELING OF BRAIN AND COGNITIVE DISORDERS
edited by James A Reggia (Univ. Maryland), Eytan Ruppin (Tel Aviv Univ.) &
Rita Sloan Berndt (Univ. Maryland)

During the last few years there has been a rapidly increasing interest in
neural modeling of brain and cognitive disorders. This multidisciplinary
book presents a variety of such models in neurology, neuropsychology and
psychiatry. A review of work in this area is given first. Computational
models are then presented of memory impairment in Alzheimer's disease,
functional brain reorganization following a stroke, patterns of neural
activity in epilepsy, disruption of language processes in aphasia and
acquired dyslexia, altered cognitive processes in schizophrenia and
depression, and related disorders. 

425pp (approx.)	 1996    981-02-2879-1   US$86

Ordering Information:
Please e-mail or fax your order and VISA/MC/AMEX/Diners Club Card Number or
alternatively enclose a cheque/bank draft and send to your nearest World
Scientific Office:
USA: World Scientific Publishing Co. Inc. 1060 Main Street, River Edge, NJ
07661,
      USA Toll-free: 1-800-227-7562   Toll-free fax: 1-888-977-2665
      E-mail: wspc@wspc.com
-UK: World Scientific Publishing Co. Ltd. 57 Shelton Street, Covent Garden,
      London WC2H 9HE, UK  Tel: 44-171-836-0888  Fax: 44-171-836-2020
      E-mail: sales@wspc2.demon.co.uk
-Singapore: World Scientific Publishing Co. Ltd. Farrer Road P.O. Box 128,
      Singapore 912805 Tel: 65-382-5663  Fax: 65-382-5919
From akin@dec001.cmpe.boun.edu.tr Tue Feb 18 00:49:13 1997
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Message-Id: <199702180516.NAA12534@cs.uwa.oz.au>
From: "H. Levent AKIN" <akin@dec001.cmpe.boun.edu.tr>
To: cogneuro@ptolemy-ethernet.arc.nasa.gov, alife@cognet.ucla.edu,
        annrules@fit.qut.edu.au, cogpsy@cogsci.soton.ac.uk, colt@cs.uiuc.edu,
        connectionists@cs.cmu.edu, genetic-programming@cs.stanford.edu,
        gann-list@cs.iastate.edu, hybrid-list@cs.ua.edu, ml@ics.uci.edu,
        mlnet@csd.abdn.ac.uk, neuron-request@cattell.psych.upenn.edu,
        nonlin-l@list.nih.gov, reinforce@cs.uwa.edu.au, cneuro@bbb.caltech.edu,
        colorcat@brownvm.brown.edu, psyc@pucc.princeton.edu
Subject: CFP: ISCIS XII [connectionists]
Date: Mon, 17 Feb 1997 16:45:48 +0200

FIRST CALL FOR PAPERS
                                     ISCIS XII
                   
                     THE TWELFTH INTERNATIONAL SYMPOSIUM ON
                       COMPUTER AND INFORMATION SCIENCES
                   
                      October 27-29, 1997, Antalya, Turkey

                                   Organized by
                      Bogazici University, Istanbul,Turkey
                   
                   
Conference Chair
Selahattin Kuru, Turkey

Honorary Chair
Erol Gelenbe, USA

Program Committee
H. Levent Akin (Co-Chair), Turkey , M. Ufuk Caglayan (Co-Chair), Turkey,
L. Akarun, Turkey,V. Akman, Turkey, E. Alpaydin, Turkey, K.
Altinel,Turkey, E. Arkun,Turkey, Z. Bayram, Turkey, 
S.Bilgen, Turkey, B. R. Bryant, USA, A. Dogac,Turkey, J. Eder, Austria,
C.Ersoy, Turkey, S.Fdida, France, J. M. Fourneau, France, D. Garlan,
USA, C. Ghezzi, Italy,M. Gokmen, Turkey , L.Grandinetti, Italy , 
T. Gundem, Turkey, A. Guvenir, Turkey, U. Halici,Turkey, E. Harmanci,
Turkey, F. Hoffman, Germany, K. Inan, Turkey, B. Maglaris , Greece, 
S. Neftci, Turkey, M. Nivat, France, S. Oktug, Turkey, R. Onvural, USA,
B. Orencik, Turkey, C.Ozturan, Turkey, V. Paschos,France, J. F. Perrot,
France, P. Quinton, France, M. Raynal, France, E. Rosti, Italy, 
A.C.C. Say, Turkey, G. Serazzi, Italy, J. Sole-Pareta, Spain, K. Sloan,
USA, R. Smeliansky, Russia, A. Stafylopatis, Greece, M. Tayli, Turkey,
H. Tijms, Netherlands, O. Tosun, Turkey, F. Yarman-Vural, Turkey, 
N. Yalabik, Turkey, N. Yucel, Turkey

Local Organizing Committee
Duygu Arbatli, Turkey, A. Taylan Cemgil, Turkey, Albert Levi, Turkey ,
Mete Yilmaz, Turkey

Advisory Board
M. Baray, Turkey, S. Eren, Turkey, E. Gelenbe, USA, E. Harmanci, Turkey,
Y. Karsligil, Turkey, S. Kuru, Turkey, E. Ozkarahan, Turkey, F.
Yarman-Vural, Turkey, U. Yarimagan, Turkey

--------------------------------------------------------------------
ISCIS  XII  is the twelfth of a series of meetings that  have brought 
together computer scientists and engineers from  many countries.  This
year's conference will again be  held  in  a resort hotel in the
beautiful Mediterranean city of Antalya, in  a  region rich  in  natural
as well  as  archeological, architectural  and historical sites. During
the  symposium, there will  be  invited speeches  and  special sessions 
on different aspects  of high speed computer networks,  software
engineering and artificial intelligence.

----------------------------------------------------------------------
                  TOPICS OF INTEREST

*    Computer Networks
*    Parallel Processing and Parallel Algorithms
*    Theoretical Computer Science
*    Computer Architecture and Systems
*    Artificial Intelligence
*    Neural Networks
*    Computer Graphics
*    Image Processing and Pattern Recognition
*    Real Time Computing
*    Performance Evaluation
*    Software Engineering
*    Databases
*    Programming Languages
*    Distributed Systems
*    Formal Methods
*    Computer Vision
*    Computational Mathematics
*    Information Retrieval
 

----------------------------------------------------------------------
                PAPER SUBMISSION
                         
Please  submit four copies (one original and three copies)  of the 
full  paper (in English) limited to 8 pages to the  below address.
Electronic submission of papers is encouraged. Papers in
Postscript or Word for Windows formats are welcome.

             ISCIS XII
             Department of Computer Engineering
             Bogazici University
             Bebek, Istanbul, 80815 Turkey

Tel: +90 (212) 263 1540 ext. 1323 
Fax: +90 (212) 287 2461
                         
email: iscis@www.cmpe.boun.edu.tr
http://www.cmpe.boun.edu.tr/iscis.html
anonymous ftp: www.cmpe.boun.edu.tr/iscis


Paper Format


on  A4  or letter size paper with single space, single column, one inch
margins on all four sides. The first page should have a two inch margin
at the top. Centered at the top of the first page should  be  the
complete title of the paper, author(s), affiliation(s), mailing  and 
e-mail address(es),  then  the abstract, not exceeding 15 lines,
followed by the text. In  an accompanying letter, the following should
be  included:  full title  of  the  paper, author name(s),  mailing
address(es), telephone  and  fax.  numbers and e-mail  address(es)  of 
the author(s) indicating the presenter and technical session names (lst
and 2nd choices) to be selected from the list of topics given  above. 
Accepted  papers  will  be published  in   the symposium proceedings.

The symposium welcomes proposals for invited sessions.

Important Dates :
* Papers Due : May 1, 1997
* Notification of Acceptance :  July 15, 1997
* Camera Ready Papers :         August 15, 1997

From zhangw@redwood.rt.cs.boeing.com Tue Feb 18 05:56:23 1997
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Date: Mon, 17 Feb 1997 16:48:02 -0800
From: Wei Zhang <zhangw@redwood.rt.cs.boeing.com>
Message-Id: <199702180048.QAA04330@rivendell.network-A>
To: connectionists@cs.cmu.edu
Subject: Job: machine learning at Boeing
X-Sun-Charset: US-ASCII


	**Outstanding Machine Learning Researcher needed**

The Boeing Company, the world's largest aerospace company, is actively
working research projects in advanced computing technologies including
projects involving NASA, FAA, Air Traffic Control, and Global
Positioning as well as airplane and manufacturing research.

The Research and Technology organization located in Bellevue,
Washington, near Seattle, has an open position for a machine learning
researcher.  We are the primary computing research organization for
Boeing and have contributed heavily to both short term technology
advances and to long range planning and development.
 
BACKGROUND REQUIRED: Machine Learning, Knowledge Discovery, Data
Mining, Statistics, Artificial Intelligence or related field.
 	    
RESEARCH AREAS: We are developing and applying techniques for data
mining and statistical analyses of diverse types of data, including:
safety incidents, flight data recorders, reliability, maintenance,
manufacturing, and quality assurance data.  These are not areas where
most large R&D data mining efforts are currently focused.  Research
areas include data models, data mining algorithms, statistics, and
visualization. Issues related to our projects also include pattern
recognition, multidimensional time series, and temporal databases. We
can achieve major practical impacts in the short-term both at Boeing
and in the airline industry, which may result in a safer and more
cost-effective air travel industry.
 
A Ph.D. in Computer Science or equivalent experience is highly
desirable for the position.  We strongly encourage diversity in
backgrounds including both academic and industrial
experiences. Knowledge of machine learning, statistics, and data
mining are important factors. Experience with databases and
programming (C/C++, JAVA, and Splus) is desirable.
   
APPLICATION: If you meet the requirements and you are interested,
please send your resume via electronic e-mail in plain ASCII format to
zhangw@redwood.rt.cs.boeing.com (Wei Zhang). You can also send it via
US mail to

Wei Zhang
The Boeing Company
PO Box 3707, MS 7L-66
Seattle, WA 98124-2207

Application deadline is April 30, 1997. 

The Boeing Company is an equal opportunity employer.


From ruderman@salk.edu Tue Feb 18 18:01:46 1997
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Sender: ruderman@valaga.salk.edu
Message-ID: <330A052D.745F682F@salk.edu>
Date: Tue, 18 Feb 1997 11:38:21 -0800
From: Dan Ruderman <ruderman@salk.edu>
Organization: The Salk Institute
X-Mailer: Mozilla 3.0Gold (X11; I; Linux 1.2.13 i586)
MIME-Version: 1.0
To: connectionists@cs.cmu.edu
Subject: Preprint available
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit

The following preprint is available:


                Origins of scaling in natural images

                        Daniel L. Ruderman


One of the most robust qualities of our visual world is the
scale-invariance of natural images.  Not only has scaling been found
in different visual environments, but the phenomenon also appears to
be calibration independent.  This paper proposes a simple property of
natural images which explains this robustness: They are collages of
regions corresponding to statistically independent ``objects''.
Evidence is provided for these objects having a power-law distribution
of sizes within images, from which follows scaling in natural images.
It is commonly suggested that scaling instead results from edges, each
with power spectrum 1/k^2.  This hypothesis is refuted by example.


(To appear in Vision Research)


It may be found at my website:

	http://quake.usc.edu/~dlr/papers.html

-- 
Dr. Dan Ruderman          ruderman@sloan.salk.edu
The Salk Institute (VCL)  10010 N. Torrey Pines Road  La Jolla, CA 92037
(619) 453-4100 x2025   FAX: (619) 455-7933
From parodi@cptsu2.univ-mrs.fr Tue Feb 18 18:07:39 1997
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Date: Tue, 18 Feb 97 13:54:31 +0100
From: Olivier Parodi <parodi@cptsu2.univ-mrs.fr>
Message-Id: <9702181254.AA19906@cptsu2.univ-mrs.fr>
To: cogpsy@neuro.psy.soton.ac.uk, Connectionists@cs.cmu.edu,
        connect_dis@complex.nbi.dk
Subject: Cargese Summer School on Neural Information Processing
Cc: parodi@cptsu2.univ-mrs.fr



			SUMMER SCHOOL

			     on

		NEURONAL INFORMATION PROCESSING :
	FROM BIOLOGICAL DATA TO MODELLING AND APPLICATIONS

		Cargese -- Corse du Sud (France)
		    June 30 -- July 12, 1997

			organized at the
	  INSTITUT D'ETUDES SCIENTIFIQUES DE CARGESE
			CNRS (UMS 820) 
   Universite de Nice-Sophia Antipolis - Universite de Corte
		      F 20130 CARGESE


Sponsored by

	Centre National de la Recherche Scientifique
	DGA-DRET (French Ministry of Defence)
	Conseil Executif de la Corse

THEME

	In the past ten years, statistical mechanics and dynamics of neuronal 
automata have been extensively studied. Most of the work has been based on 
over-simplified models of neurons. Recent developments in Neurosciences have, 
however, considerably modified our knowledge of both the operating modes of 
neurons and information processing in the cortex.
	Multi-unit recordings have allowed precise temporal correlations to be
detected, within temporal windows of the order of 1 ms. Simultaneously,
oscillations corresponding to a quasi-periodic spike-firing, synchronized over
several visual cortical areas, have been observed with anaesthesied cats and
with monkeys. Last but not least, recent work on the neuronal operating modes
have emphasized the role played by the dendritic arborization.
	These developments have led to considerable interest for coding scheme 
relying on precise spatio-temporal patterns both from the theoretical and 
experimental points of view.  This prompts us to consider, for information 
processing, new models which would proceed, e.g., from a synchronous detection 
of correlated spike firing, and could be particularly robust against noise. 
Such models might bring about original technical applications for information 
processing and control.
	Further developments in this field may be of major importance for our 
understanding of the basic mechanisms of perception and cognition. They should 
also lead to new concepts in applications directed towards artificial 
perception and pattern recognition. Up to now, artificial systems for pattern 
recognition are far from reaching the standards of human vision. Systems based 
on a temporal coding by spikes may now be expected to bring about major 
improvements in this field.
	The aim of the school is to provide students and people engaged in both
applied and basic research with state of the art in every relevant field
(Neurosciences, Physics, Mathematics, Information and Control Theory) and to 
encourage further interdisciplinary and international exchanges.

PRELIMINARY PROGRAM

	Pr. M. Abeles (Jerusalem) - Spike Correlations and synfire chains,
	Pr. P. Combe (Marseille) - Learning: a geometrical approach,
	Pr. J. Demongeot (Grenoble) - Dynamics of modular architectures,
	Pr. L. van Hemmen (Munchen) - Coding by spikes,
	Pr. J. Herault (Grenoble) - Information processing in the retina,
	Pr. J. Hertz (Copenhague) - Temporal coding and learning,
	Pr. A. Holley (Lyon) - Information processing in the olfactory 
mammalian system,
	Pr. C. von der Malsburg (Bochum) - Binding and Synchrony,
	Dr. C. Masson (Paris) - Cellular mechanism of odor discrimination,
	Dr. J. P. Nadal (Paris) - Information theory and neuronal 
architecture,
	Dr. O. Parodi (Marseille) - Temporal coding and correlation detection,
	Pr. S. Solla (ATT) - Dynamics of on-line learning processes.
	

OFFICIAL LANGUAGES
The official languages of the School are English and French. Lectures will
given in English.


DIRECTOR OF THE SCHOOL
	Olivier PARODI, Centre de Physique Theorique
	CNRS-Luminy, case 907, F 13288 MARSEILLE CEDEX 09, France
	Tel. (33) 4 91 26 95 30  Fax (33) 4 91 26 95 53
	e-mail parodi@cpt.univ-mrs.fr

REGISTRATION FEES
	Students: free
	CNRS and members of CNRS institutes: free
	University: 1500 FF
	Industry: 2500 FF

ACCOMMODATION GRANTS 
 
1 - The School is sponsored by the Formation Permanente du CNRS, which can
support accomodation expenses of at least 16 CNRS participants. 
2 - The Organizing Committee will consider grants for students and young 
participants.


PRACTICAL INFORMATION

	The school will be held at the Institut d'Etudes Scientifiques 
de Cargese. Lectures and Seminars will be given from 9 am to 12:30 pm and 
from 4 to 7:15 pm.(except on Sunday) from July 1 to 11 included. All 
participants are expected to arrive on June 30 and leave on July 12.

TRAVEL : Cargese is located approximatively 60 kms North of Ajaccio. The best 
way to get to Cargese is to reach Ajaccio. You are asked to make your own 
travelling arrangements. However, in order to reduce the cost of your travel, 
two groups will be organized on regular flights between Paris and Ajaccio and 
Marseille and Ajaccio on June 30 and July 12 (approx. 1200-1400 FF for a Paris- 
Ajaccio return ticket). We also consider renting buses for the Ajaccio-Cargese 
and return journeys. Details will be sent later. 

ACCOMODATION : The Institute is located 2 km south of the village, on the 
sea shore. On working days, lunches will be served at the Institute (800 FF for
the session, including refreshment and coffe breaks). There are various housing
possibilities:

- shared room at the Institute or in apartments in the village - 1920 FF
 (per person for the session)
- single room in shared apartments in the village - 2640 FF for the session
- rented apartment in the village for your family - 270 to 500 FF per day
- hotels in the village - 250 to 400 FF per person per day
- camping on the grounds of the Institute - 20 FF per person per day. You have 
to bring your own equipment, showers are at your disposal. Breakfast will be 
served at the Institute for people staying on the grounds.

WARNING: There are no banks nor cash machines in Cargese and credit cards
are not accepted everywhere. Think to bring enough French cash before leaving 
Paris, Marseille or Ajaccio.

NOTE : We cannot provide accomodation before or after the dates of the School.

POSTER SESSION : One or several poster sessions will be organized. 
Participants are encouraged to prepare posters on their own work.

REGISTRATION :
You have to fill the enclosed application and return it by e-mail to
		cargese@cpt.univ-mrs.fr
BEFORE MARCH 31, 1997 with, if necessary, a letter justifying your grant 
request.

The School will accept up to 50 students, including those supported by the
Formation Permanente of CNRS. In case of over-demand, participants will be 
selected by the Scientific Committee, with a balance between junior
and senior students, and a preference for students carrying an active 
research in the field.

------------------   http://cpt.univ-mrs.fr/Cargese  ----------------------

*****************************************************************************
*****************************************************************************
French Version
Version Francaise (TEX) a compiler en "plain TEX" sur une station UNIX, un MAC
avec Textures ou un PC. 

*****************************************************************************
\nopagenumbers
\vsize 26.5 true cm
\hsize 18.5 true cm
\hoffset -1.2 true cm
\voffset -1 cm
\null
{\bf
\centerline{ECOLE D'ETE}
\vskip 1 true cm
\centerline{TRAITEMENT NEURONAL DE L'INFORMATION}
\medskip
\centerline{Des donn\'ees biologiques \`a la mod\'elisation et aux applications}
\vskip 1 true cm
\centerline{Carg\`ese, Corse du Sud (France)}
\par
\centerline{30 juin -- 12 juillet 1997}
\bigskip
\centerline{organis\'ee \`a}
\bigskip
\centerline{L'INSTITUT D'ETUDES SCIENTIFIQUES DE CARGESE}
}
\smallskip
\centerline{CNRS (UMS 820) -- Universit\'e de Nice-Sophia Antipolis -- 
Universit\'e de Corte}
\smallskip
\centerline{F 20130 Carg\`ese} 
\vskip 1 true cm
\noindent
Subventionn\'ee par
\par
Le Centre National de la Recherche Scientifique
\par
La Direction Scientifique de la DGA-DRET (Minist\`ere de la D\'efense)
\par
La Collectivit\'e Territoriale Corse
\vskip 1 true cm\noindent
{\bf THEME}
\medskip
Depuis une dizaine d'ann\'ees, de nombreuses \'etudes ont port\'e sur la 
m\'ecanique statistique et la dynamique d'au\-to\-ma\-tes neuronaux, bas\'ees 
le plus souvent sur une mod\'elisation relativement ancienne du neurone. 
Mais les d\'eveloppements r\'ecents en Neurosciences ont consid\'erablement 
modifi\'e nos connaissances, \`a la fois sur le neurone et sur le traitement
de l'information dans le cortex.
\par
Les techniques d'enregistrement multi-\'electrodes ont permis de d\'etecter 
des corr\'elations temporelles tr\`es pr\'ecises dans des fen\^etres de
l'ordre de la milliseconde. En m\^eme temps des {\it oscillations}, 
correspondant \`a des \'emissions quasi-p\'eriodiques de potentiels 
d'action synchronis\'ees \`a travers tout le cortex visuel, ont \'et\'e 
observ\'ees chez des chats anesth\'esi\'es et chez des singes. 
Parall\`element, des travaux portant sur le fonctionnement du neurone 
ont soulign\'e le r\^ole important jou\'e par l'arborisation dendritique, 
r\^ole compl\`etement pass\'e sous silence dans les mod\`eles classiques 
d'automates neuronaux.
\par
Ces d\'eveloppements ont donn\'e un essor consid\'erable \`a des \'etudes, tant 
th\'eoriques qu'exp\'erimentales, faisant intervenir un codage par des 
configurations spatio-temporelles pr\'ecises. On est ainsi amen\'e \`a 
envisager de nouveaux mod\`eles de traitement de l'information, bas\'es, par 
exemple, sur la d\'etection synchrone de signaux corr\'el\'es, et qui 
pourraient \^etre particuli\`erement robustes vis-\`a-vis du bruit.  Ces 
mod\`eles pourraient conduire \`a des applications technologiques originales 
en mati\`ere de traitement de l'information et de contr\^ole.
\par
Le but de cette \'ecole est d'apporter aux \'etudiants et aux chercheurs, 
tant fondamentaux qu'ap\-pli\-qu\'es, un enseignement de pointe couvrant, 
dans ce domaine, l'ensemble des disciplines concern\'ees (Neurosciences, 
Physique, Math\'ematiques, Th\'eories de l'Information et du Contr\^ole), 
et de favoriser des coop\'erations interdisciplinaires et internationales.
\vskip .8 true cm\noindent
{\bf PROGRAMME PRELIMINAIRE}
\medskip
\par
Pr. M. Abeles (Jerusalem) -- Spike Correlations and synfire chains,
\par
Pr. P. Combe (Marseille) -- Learning: a geometrical approach,
\par
Pr. J. Demongeot (Grenoble) -- Dynamics of modular architectures,
\par
Pr. L. van Hemmen (Munchen) -- Coding by spikes,
\par
Pr. J. H\'erault (Grenoble) -- Information processing in retina,
\par
Pr. J. Hertz (Copenhague) -- Temporal coding and learning,
\par
Pr. A. Holley (Lyon) -- Information processing in the olfactory 
mammalian system,
\par
Pr. C. von der Malsburg (Bochum) -- Binding and Synchrony,
\par
Dr. C. Masson (Paris) -- Cellular mechanism of odor discrimination,
\par
Dr. J. P. Nadal (Paris) -- Information theory and neuronal 
architecture,
\par
Dr. O. Parodi (Marseille) -- Temporal coding and correlation 
detection,
\par
Pr. S. Solla (ATT) -- Dynamics of on-line learning processes
\vfill
\eject
\noindent
{\bf LANGUES OFFICIELLES}
\smallskip
Les langues officielles de l'Ecole sont l`anglais et le fran\c cais.
Les cours seront donn\'es en anglais
\bigskip\noindent
{\bf DIRECTEUR DE L'ECOLE}
\smallskip
Olivier PARODI, Centre de Physique Th\'eorique
\par
CNRS-Luminy, case 907, F 13288 MARSEILLE CEDEX 09, France
\par
Tel. (33) 4 91 26 95 30  Fax (33) 4 91 26 95 53
\par
e-mail parodi@cpt.univ-mrs.fr
\bigskip\noindent
{\bf DROITS D'INSCRIPTION}
\smallskip
\par
Etudiants: n\'eant
\par
Personnels CNRS et membres de laboratoires soutenus par le CNRS: n\'eant
\par
Autres universitaires: 1500 FF
\par
Secteur industriel: 2500 FF
\bigskip\noindent
{\bf ALLOCATIONS}
\smallskip
\item{1 -} L'Ecole est subventionn\'ee par la Formation permanente du CNRS.
Les frais de s\'ejour d'au moins 16 participants CNRS -- ou, \`a d\'efaut, de 
participants  en provenance de Laboratoires soutenus par le CNRS -- pourront 
\^etre pris en charge par la Formation Permanente de la XIIe D\'el\'egation. 
Les frais de transport des personnels CNRS seront alors pris en charge par la 
Formation Permanente de leur D\'el\'egation.
\item{2 -} Le Comit\'e d'Organisation envisage d'attribuer des bourses aux 
jeunes chercheurs.
\bigskip\noindent
{\bf INFORMATIONS PRATIQUES}
\smallskip
L'Ecole est organis\'ee \`a l'Institut d'Etudes Scientifiques de Carg\`ese. 
Les Cours et les S\'eminaires auront lieu de 9h \`a 12h30 et de 16h \`a 
19h15 tous les jours, sauf le Dimanche, du 1er juillet au 11 juillet 
inclus. Tous les participants sont attendus le 30 juin et leur d\'epart 
est pr\'evu le 12 juillet.
\medskip\noindent
VOYAGE: 
\par
Carg\`ese est situ\'e \`a environ 60 km au Nord d'Ajaccio. La meilleure 
mani\`ere de s'y rendre est de gagner d'abord Ajaccio. Vous \^etes 
responsable de l'organisation de votre voyage, aller et retour. 
Cependant, afin d'en r\'eduire le co\^ut, des vols de groupe sur ligne 
r\'eguli\`ere seront organis\'es entre Paris et Ajaccio et Marseille 
et Ajaccio les 30 juin et 12 juillet (Prix approximatif 1200 \`a 1400 FF 
pour un aller et retour Paris-Ajaccio). Nous envisageons aussi de louer 
des cars pour les aller et retour Ajaccio-Carg\`ese. Les d\'etails 
seront communiqu\'es ult\'erieurement.
\medskip\noindent
LOGEMENT:
\par
L'Institut est situ\'e \`a 2 km du village au bord de la mer. Les jours 
de cours, le d\'ejeuner est servi sur place (800 FF pour la session y 
compris les pauses-caf\'e).
Les possibilit\'es d'h\'ebergement sont diverses:
\medskip
\item{- } Chambre partag\'ee avec un coll\`egue \`a l'Institut ou dans 
un appartement au village (1920 FF pour la dur\'ee de la session),
\item{- } Chambre individuelle dans un appartement partag\'e (2640 FF 
pour la session),
\item{- } Appartement au village en location pour votre famille (270 
\`a 500 FF par jour)
\item{- } H\^otel dans le village (250 \`a 400 FF par jour et par 
personne)
\item{- } Camping sur le terrain m\^eme de l'Institut, avec votre 
mat\'eriel individuel (20 FF par jour).
\medskip\noindent
{\it ATTENTION: Pas de banque ni de distributeur automatique de billet 
\`a Carg\`ese, et les cartes de cr\'edit ne sont pas toujours 
accept\'ees. Pensez \`a vous munir d'argent liquide.}
\medskip\noindent
NB: Nous n'organisons aucun h\'ebergement en dehors des dates de l'Ecole.
\bigskip\noindent
{\bf COMMUNICATIONS AFFICH\'EES}
\par
Une ou plusieurs s\'eances de 
communications par affiches seront organis\'ees. Les participants sont invit\'es
\`a pr\'eparer des affiches sur leur propre travail de recherche.
\bigskip\noindent
{\bf INSCRIPTION}
\par
Le formulaire ci-joint doit \^etre renvoy\'e au plus tard le 
{\bf 31 mars 1997} par courrier \'electronique \`a \break
{\bf cargese@cpt.univ-mrs.fr}, 
accompagn\'e, \'eventuellement, d'une lettre justifiant votre demande 
de bourse ou de prise en charge par la Formation Permanente du CNRS.
\par
Le nombre de participants \`a l'Ecole, enseignants non compris, est
limit\'e \`a cinquante, nombre incluant les stagiaires subventionn\'es 
par la Formation Permanente du CNRS. La s\'election des candidats sera 
effectu\'ee par le Comit\'e Scientifique, qui veillera \`a l'\'equilibre 
entre jeunes chercheurs et chercheurs confirm\'es, et donnera une 
priorit\'e aux participants engag\'es dans une recherche active dans 
le domaine.
\medskip
\noindent
{\bf WEB}
\par
Toutes les informations concernant l'Ecole sont disponibles \`a l'URL
\par
{\bf http://cpt.univ-mrs.fr/Cargese/}

\end

***************************************************************************
***************************************************************************




	|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||


			   REGISTRATION FORM
			 BULLETIN D'INSCRIPTION


		   NEURONAL INFORMATION PROCESSING
		 TRAITEMENT NEURONAL DE L'INFORMATION



NAME / NOM
First name / Prenom (Ms/Mr)
Nationality/Nationalite
date of birth / date
INSTITUTE ADDRESS / LABORATOIRE



Tel.
Fax
e-mail

HOME ADDRESS / Adresse personnelle



Tel.
Next of kin / Personne a prevenir en cas d'accident :



DIPLOMA	/Niveau Universitaire

PRESENT POSITION / EMPLOI ACTUEL ?


PRESENT RESEARCH / RECHERCHES ACTUELLES


MAIN PUBLICATIONS / Publications Principales
(up to five recent publications)





Will your Institution pay for / Votre Laboratoire subventionne-t-il:
your travel (Yes/No) ? 
votre voyage (Oui/Non) ?
your accommodation expenses (Yes/No) ?
vos frais de sejour ? (Oui/Non) ?


Only for members of the CNRS /
Pour les participants CNRS, ou relevant d'un laboratoire soutenu par le CNRS,
demandez-vous la prise en charge de vos frais de sejour et de transport par
la Formation Permanente du CNRS ?

For Junior applicants, do you request a grant ? (Yes/No) ?
Pour les jeunes chercheurs, etes-vous candidat a une bourse ? (Oui/Non)

RECOMMENDATION : Junior applicants should arrange for a letter of 
recommendation from a senior scientist who had the oppotunity to judge their
work. This letter should be sent by e-mail to cargese@cpt.univ-mrs.fr. 
RECOMMANDATION: Les jeunes chercheurs doivent fournir une lettre de 
recommandation d'un chercheur confirme. Cette lettre doit etre envoyee par 
courrier electronique a cargese@cpt.univ-mrs.fr

YOU ARE RECOMMENDED BY / Vous etes recommande par ?


TRAVEL/VOYAGE:
Will you take a group flight / Prendrez-vous un vol de groupe ?
Paris-Ajaccio-Paris : Number/Nombre ?
Marseille-Ajaccio-Marseille : Number/Nombre ?

HOUSING (Specify your choice):
LOGEMENT (Precisez votre choix):

Pour les participants francophones:
Etes-vous capable de suivre un cours en anglais ?
De participer a une discussion en anglais ?   

DEADLINE / DATE LIMITE D'INSCRIPTION : 
THIS APPLICATION HAS TO BE SENT BY E-MAIL NOT LATER THAN MARCH 31, 1997 TO 
cargese@cpt.univ-mrs.fr 
CE FORMULAIRE DOIT ETRE RENVOYE PAR COURRIER ELECTRONIQUE AU PLUS TARD LE
31 MARS 1997 A cargese@cpt.univ-mrs.fr

You will receive an answer by e-mail before April 30.
Vous recevrez une reponse avant le 30 avril.

e-mail contact for special requests only / contact par courrier electronique 
pour des problemes particuliers:
		cargese@cpt.univ-mrs.fr
From pelillo@dsi.unive.it Wed Feb 19 15:04:07 1997
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From: Marcello Pelillo <pelillo@dsi.unive.it>
Message-Id: <199702190833.JAA16875@oink.dsi.unive.it>
Subject: EMMCVPR'97 (Venice) - Program
To: Connectionists@cs.cmu.edu
Date: Wed, 19 Feb 1997 09:33:05 +0100 (MET)
X-Mailer: ELM [version 2.4 PL25]
Content-Type: text

I apologize if you receive multiple copies of this.

Updated information about the workshop can be found at the
following URL:

    http://www.dsi.unive.it/~emmcvpr

Best regards
Marcello Pelillo


=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-==-=-=-=-=-=-=-=-=-=-=-=

                                EMMCVPR'97

                         International Workshop on
                       ENERGY MINIMIZATION METHODS IN
                  COMPUTER VISION AND PATTERN RECOGNITION

                Ca' Dolfin, Venice, Italy, May 21-23, 1997

                             
                                 PROGRAM



WEDNESDAY (May 21)

 9:00  Opening and welcome addresses

 9:30  Keynote lecture:
       Object Recognition Using Stochastic Optimization
       S. Ullman
       The Weizmann Institute of Science, Israel
 
10:30  Coffee break

11:00  Characterizing the Distribution of Completion Shapes with
       Corners Using a Mixture of Random Processes
       K. K. Thornber and L. R. Williams
       NEC Research Institute, USA
11:30  Adaptive Parametrically Deformable Contours
       M. A. T. Figueiredo, J. M. N. Leitao, and A. K. Jain
       Instituto Superior Tecnico, Portugal
12:00  Kona: A Multi-Junction Detector using Minimum Description Length
       Principle
       L. Parida, D. Geiger, and R. Hummel
       New York University, USA

12:30  Lunch

14:00  Invited lecture:
       Reliable Computation and Related Games
       S. W. Zucker
       Yale University, USA
15:00  Genetic Algorithms for Ambiguous Labelling Problems
       R. Myers and E. R. Hancock
       University of York, UK
15:30  Toward Global Solution to MAP Image Estimation:
       Using Common Structure of Local Minima
       S. Z. Li
       Nanyang Technological University, Singapore

16:00  Coffee break

16:30  Image Segmentation Via Energy Minimization on Partitions
       with Connected Components
       J.-P. Wang
       Ecole Normale Superieure de Cachan, France
17:00  Integration of Confidence Information by Markov Random Fields
       for Reconstruction of Underwater 3D Acoustic Images
       V. Murino
       Universita' di Udine, Italy
17:30  Restoration of Severely Blurred High Range Images Using Stochastic
       and Deterministic Relaxation Algorithms in Compound Gauss
       Markov Random Fields
       R. Molina, A. K. Katsaggelos, J. Mateos, and A. Hermoso
       Universidad de Granada, Spain



THURSDAY (May 22)

 8:30  Invited lecture:
       Probabilistic Relaxation: Potential, Relationships and Open Problems
       J. Kittler
       University of Surrey, UK
 9:30  An Expectation-Maximisation Approach to Graph Matching
       A. M. Finch, R. C. Wilson, and E. R. Hancock
       University of York, UK
10:00  A Region-Level Motion-Based Graph Representation and Labeling for
       Tracking a Spatial Image Partition
       M. Gelgon and P. Bouthemy
       IRISA/INRIA, France

10:30  Coffee break

11:00  Deterministic Annealing for Unsupervised Texture Segmentation
       T. Hofmann, J. Puzicha, and J. Buhmann
       Rheinische Friedrich-Wilhelms-Universitat, Germany
11:30  Self-Annealing: Unifying Deterministic Annealing and Relaxation Labeling
       A. Rangarajan
       Yale University, USA
12:00  Multidimensional Scaling by Deterministic Annealing
       H.-J. Klock and J. M. Buhmann
       Rheinische Friedrich-Wilhelms-Universitat, Germany

12:30  Lunch

14:00  Invited lecture:
       Search Strategies for Detecting Deformable Templates
       A. L. Yuille
       Harvard University, USA

15:00  Poster session

P1     Unsupervised Segmentation Applied on Sonar Images
       C. Collet, M. Mignotte, P. Perez, and P. Bouthemy
       Ecole Navale, Brest-Naval, France
P2     Adaptive Anisotropic Parameter Estimation in the Weak Membrane Model
       T. Kubota and T. Huntsberger
       University of South Carolina, USA
P3     Figure-Ground Separation: A Case Study in Energy Minimization via 
       Evolutionary Computing
       S. M. Bhanarkar and X. Zeng
       The University of Georgia, USA
P4     SAR Image Registration and Segmentation Using an Estimated Elevation Map
       C. A. Glasbey
       JCMB, Scotland
P5     Restoration of SAR Images Using Recovery of Discontinuities and
       Non-linear Optimization
       F. Tupin, M. Sigelle, A. Chkeif, and J.-P. Veran
       Ecole Nationale Superieure des Telecommunications, France
P6     Optimization Problems in Statistical Object Recognition
       J. Hornegger and H. Niemann
       Friedrich-Alexander-Universitat, Germany
P7     An Energy Minimization Method for Matching and Comparing Structured
       Object Representations
       R. Azencott and L. Younes
       CMLA, ENS Cachan, France
P8     Deformable Templates for Tracking and Analysis of Intravascular
       Ultrasound Sequences
       F. Escolano, M. Cazorla, D. Gallardo, and R. Rizo
       Universidad de Alicante, Spain
P9     Deterministic Search Strategies for Relational Graph Matching
       M. L. Williams, R. C. Wilson, and E. R. Hancock
       Defence Research Agency, UK
P10    Geometrically Deformable Templates for Shape-based Segmentation and
       Tracking in Cardiac MR Images
       D. Rueckert and P. Burger
       Imperial College, London, UK
P11    Motion Correspondence through Energy Minimization
       A. Branca, E. Stella, and A. Distante
       IESI/CNR, Italy



FRIDAY (May 23)

 8:30  Invited lecture:
       Object Localization Using Color, Shape and Texture
       A. K. Jain
       Michigan State University, USA
 9:30  Consistent Modeling of Terrain and Drainage Using Deformable Models
       P. Fua
       EPFL, Lausanne, Switzerland
10:00  Visual Deconstruction: Recognizing Articulated Objects
       T.-L. Liu and D. Geiger
       New York University, USA
 
10:30  Coffee break

11:00  Maximum Likelihood Estimation of Markovian Prior Parameters Using
       Markov Chain Monte Carlo
       X. Descombes, R. Morris, J. Zerubia, and M. Berthod
       INRIA, France
11:30  Unsupervised Image Segmentation Using Markov Random Field Models
       S. A. Barker and P. J. W. Rayner
       University of Cambridge, UK
12:00  Noniterative Manipulation of Discrete Energy-Based Models for
       Image Analysis
       P. Perez and J.-M. Laferte'
       IRISA/INRIA, France

12:30  Closing remarks


=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=


EMMCVPR'97 REGISTRATION FORM

Please fill in the registration form and send it either by ordinary mail
or fax to:

   Marcello Pelillo
   Dipartimento di Matematica Applicata e Informatica
   Universita' "Ca' Foscari" di Venezia
   Via Torino 155
   30173 Venezia Mestre, Italy

   Fax: +39 41 2908419




Last name __________________________  First name __________________________

Affiliation _______________________________________________________________

Address ___________________________________________________________________

___________________________________________________________________________

Zip code ____________________   City ______________________________________

Country ___________________________________________________________________

Tel ________________________________   Fax ________________________________

E-mail ____________________________________________________________________



Accompanying person(s)

Last name __________________________  First name __________________________




REGISTRATION FEES
quoted in Italian lire (LIT).

Early registration (before March 31, 1997) (*)            LIT 500,000   (_)
Late registration (after March 31, 1997) (*)              LIT 600,000   (_)
Student (**)                                              LIT 300,000   (_)
Accompanying person (***)                                 LIT 150,000   (_)

Total payment                                             ___________


(*) Full registration fees include participation to the scientific
sessions, the proceedings book, the coffee breaks and the social program.

(**) Students must certify their status. Student's fee includes
participation to the scientific sessions, the proceedings book and the
coffee breaks.

(***) The fee for the accompanying person covers the social program.




PAYMENT

All payments must be in Italian lire.

1)  Please charge my credit card in favor of "SAF srl"

    VISA ____    MASTERCARD ____
	
    Name of cardholder ____________________________________________________
    
    No ___________________________________  Expiration date _______________
    
    Amount ____________________  Signature ________________________________

    Date ________________
    


2)  Please make a SWIFT bank transfer to "SAF srl" account:

    BANCA COMMERCIALE ITALIANA
    Agenzia n. 2, Taranto, Italy
    ABI: 02002
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From gareth@stat.stanford.edu Wed Feb 19 23:37:51 1997
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From: Gareth James <gareth@stat.stanford.edu>
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To: Connectionists@cs.cmu.edu
Subject: Paper on Generalized Bias/Variance Decomposition
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The following paper is available in postscript format at 
http://stat.stanford.edu/~gareth under my papers section.



Generalizations of the Bias/Variance Decomposition for Prediction      
Error

Gareth James and Trevor Hastie  (Stanford University)

The bias and variance of a real valued random variable, using squared
error loss, are well understood. However because of recent developments  
in classification techniques it has become desirable to extend these
concepts to general random variables and loss functions. The 0-1
(misclassification) loss function with categorical random variables has
been of particular interest. 
We explore the concepts of variance and bias and develop a decomposition
of the prediction error into functions of the systematic and variable
parts of our predictor.
After providing some examples we conclude with a discussion of the
various definitions that have been proposed.

From carmesin@schoner.physik.uni-bremen.de Thu Feb 20 13:25:16 1997
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Date: Thu, 20 Feb 1997 17:09:05 +0100
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From: Hans-Otto Carmesin <carmesin@schoner.physik.uni-bremen.de>
To: Connectionists@cs.cmu.edu
Subject: Theory and Experiment papers

   Two corresponding experimental and theoretical papers concerning
  -- Continuous Phase Transitions in Multistable Perception:
               Neural Network and Experiment --
are now available.
Based on a neural network theory, we predicted a continuous phase
transition for multistable perception (H.-O. Carmesin: Theorie
neuronaler Adaption, Koester, Berlin 1994,1996).
Then we discovered this continuous transition experimentally,
observed additional dynamical effects at the sensitive continuous
transition and improved the neural network model accordingly.

The full neural network theory is presented in the paper
  - A neural network model for stroboscopic alternative motion -
by Hans-Otto Carmesin and Stefan Arndt in
Biological Cybernetics 75, 239-251 (1996).
ABSTRACT:
A neural network which models multistable perception is presented.
The network consists of sensor and inner neurons.
The dynamics is established by a stochastic neuronal dynamics, a
formal Hebb-type coupling dynamics and a resource mechanism that
corresponds to saturation effects in perception.
>From this a system of coupled differential equations is derived and
analyzed. 
Single stimuli are bound to exactly one percept, even in ambiguous
situations where multistability occurs.
The network exhibits discontinuous as well as continuous phase
transitions and models various empirical findings, including the
percepts of succession, alternative motion and simultaneity; the
percept of oscillation is explained by oscillating percepts at a
continuous phase transition. 

The experimental methods and results are presented in the paper
  - Continuous phase transitions in the perception of
                multistable visual patterns -
by Peter Kruse, Hans-Otto Carmesin, Lars Pahlke, Daniel Strber and
  Michael Stadler in Biological Cybernetics 75, 321-330 (1996).

ABSTRACT:
The phenomenon of alternative stroboscopic motion exhibits five
different percepts that are seen with an increase in frequency of
presentation: (a) succession, (b) fluttering motion, (c) reversible
clockwise and counterclockwise motion, (d) oppositional motion and (e)
simultaneity. From a synergetic point of view the increase in
frequency is a control parameter and different percepts are order
parameters with phase transitions in between. The neural network
theory of Carmesin and Arndt is applied to receive predictions about
hysteresis and phase transitions between these order
parameters. Empirical data show the different motion percepts (b),
(c) and (e) have lognormal distributions. Following the theoretical
model, it is argued that there are three different phases, (a), (c)
and (e), with two continuous phase transitions, (b) and (d), between
them. The experimental data substantially match the theoretical
assumptions. 


Some free reprints are available and can be requested via email
from carmesin@theo.physik.uni-bremen.de.
Moreover, two related papers are available online in the www at
http://schoner.physik.uni-bremen.de/~carmesin/docs/zkw9505.ps and
http://schoner.physik.uni-bremen.de/~carmesin/docs/cyber2u.ps.

Hans-Otto Carmesin
Institute for Theoretical Physics,
University Bremen,
28334 Bremen,
Germany,
WWW: http://schoner.physik.uni-bremen.de/~carmesin/

From prefenes@lbs.ac.uk Fri Feb 21 16:48:04 1997
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From: Paul Refenes <prefenes@lbs.ac.uk>
Organization: London Business School
To: connectionists@cs.cmu.edu, ml.ics.uci.edu@lbs.ac.uk,
        reinforce@cs.uwa.edu.au
Date: Fri, 21 Feb 1997 19:55:04 BST
Subject: Preprints available - Neural Networks in the Capital Markets
CC: PBolland@lbs.ac.uk, Wholt@lbs.ac.uk, jutans@lbs.ac.uk, prefenes@lbs.ac.uk
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Neural Networks in the Capital Markets
The following NNCM-96 pre-prints are now available on request. 
Please send your postal address to: boguntula@lbs.lon.ac.uk
===================================================
NEURAL MODEL IDENTIFICATION, VARIABLE SELECTION AND 
                                MODEL ADEQUACY

          A-P. N. REFENES, A. D. ZAPRANIS AND J. UTANS
                           Department of Decision Science
                                 London Business School
                      Regents Park, London, NW1 4SA, UK

In recent years an impressive array of publications have appeared
claiming considerable successes of neural networks in modeling
financial data but skeptical practitioners and statisticians are still
raising the question of whether neural networks really are "a major
breakthrough or just a passing fad". A major reason for this is the
lack of procedures for performing tests for mispecified models, and
tests of statistical significance for the various parameters that have
been estimated, which makes it difficult to assess the model's
significance and the possibility that any short term successes that
are reported might be due to "data mining". In this paper we describe
a methodology for neural model identification which facilitates
hypothesis testing at two levels: model adequacy and variable
significance. The methodology includes a model selection procedure
to produce consistent  estimators, a variable selection procedure 
based on variable significance testing and a model adequacy 
procedure based on residuals analysis.
================================================
SPECIFICATION TESTS FOR NEURAL NETWORKS:
 A CASE STUDY IN TACTICALASSET ALLOCATION

             A. D. ZAPRANIS, J. UTANS, A-P. N. REFENES
                         Department of Decision Science
                                London Business School
                        Regents Park, London, NW1 4SA, UK

A case study in tactical asset allocation is used to introduce a
methodology for neural model identification including model
specification and variable selection. Neural models are contrasted to
multiple linear regression on the basis of model identification. The
results indicate the presence of non-linear relationships between the
economic variables and asset class returns.
=============================================
