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Neuron Digest Volume 06 Number 45
Neuron Digest Monday, 30 Jul 1990 Volume 6 : Issue 45
Today's Topics:
help!
TR announcement: 'Learning & evolution in neural networks'
CFP -- 7th IEEE Conf. on AI Applications (Miami, USA, Feb. 1991)
ICANN-91, International Conference on Articificial Neural Networks (Call for Pa
Call for Participation in Connectionist Natural Language Processing
VLSI for AI and Neural Nets Workshop. Oxford, England Sept.'90
IJPRAI CALL FOR PAPERS
Send submissions, questions, address maintenance and requests for old issues to
"neuron-request@hplabs.hp.com" or "{any backbone,uunet}!hplabs!neuron-request"
Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205).
------------------------------------------------------------
Subject: help!
From: hjingyi@unccvax.uncc.edu (Hu Jingyi)
Organization: University of NC at Charlotte
Date: 07 Jul 90 21:43:26 +0000
Dear Sir/Madam :
I have a question about the Levenshtein distance. in "Self-Organization and
Associative Memory" book (page 67, 4 lines) T.Kohonen written:
weighted Levenshtein distance WLD(A,B) = min{pa(i) + qb(i) + rc(i)} (2.93)
where the coefficients p, q, and r may be obtained from the so-called
confusion matrix of the alphabet, as the inverse probability for particular
type of error to occur.
Could you help me to get the p, q, and r confusion matrix of the alphabet?
I want use the distance for some words matching processing application.
Thanks a lot.
Regard
Hu Jingyi
------------------------------
Subject: TR announcement: 'Learning & evolution in neural networks'
From: Jeff Elman <elman@amos.ucsd.edu>
Date: Fri, 20 Jul 90 16:09:46 -0700
Learning and Evolution in Neural Networks
by
Stefano Nolfi
Jeffrey L. Elman
Domenico Parisi
CRL-TR-9019, July 1990
Center for Research in Language
University of California, San Diego
La Jolla, CA 92093-0126
ABSTRACT
In this report we present the results of a series of simula-
tions in which neural networks undergo change as a result of
two forces: learning during the "lifetime" of a network, and
evolutionary change over the course of several "generations"
of networks. The results demonstrate how complex and
apparently purposeful behavior can arise from random varia-
tion in networks. We believe that these results provide a
good starting basis for modeling the more complex phenomena
observed in biological systems. A more specific problem for
which our results may be relevant is determining the role of
behavior in evolution (Plotkin, 1988); that is, how learning
at the individual level can have an influence on evolution
at the population level within a strictly Darwinian--not
Lamarckian--framework.
--------------------------------------
Copies of this technical report may be requested by email,
by sending a letter to crl@amos.ucsd.edu and requesting TR-
9019.
------------------------------
Subject: CFP -- 7th IEEE Conf. on AI Applications (Miami, USA, Feb. 1991)
From: finin@prc.unisys.com (Tim Finin)
Organization: Unisys Center for Advanced Information Technology
Date: 07 Jul 90 15:38:14 +0000
The Seventh IEEE Conference on Artificial Intelligence Applications
Fontainbleau Hotel, Miami Beach, Florida
February 24 - 28, 1991
Call For Participation
(submission deadline 8/31/90)
Sponsored by The Computer Society of IEEE
The conference is devoted to the application of artificial
intelligence techniques to real-world problems. Two kinds of papers
are appropriate: case studies of knowledge-based applications that
solve significant problems and stimulate the development of useful
techniques and papers on AI techniques and principles that underlie
knowledge-based systems, and in turn, enable ever more ambitious
real-world applications. This conference provides a forum for such
synergy between applications and AI techniques.
Papers describing significant unpublished results are solicited along
three tracks:
o "Scientific/Engineering" Applications Track. Contributions stemming
from the general area of industrial and scientific applications.
o "Business/Decision Support" Applications Track. Contributions stemming
from the general area of decision support applications in business,
government, law, etc.
Papers in these two application tracks must: (1) Justify the use
of the AI technique, based on the problem definition and an
analysis of the application's requirements; (2) Explain how AI
technology was used to solve a significant problem; (3) Describe
the status of the implementation; (4) Evaluate both the
effectiveness of the implementation and the technique used.
Short papers up to 1000 words in length will also be accepted for
presentation in these two application tracks.
o "Enabling Technology" Track. Contributions focusing on techniques
and principles that facilitate the development of practical knowledge
based systems that can be scaled to handle increasing problem
complexity. Topics include, but are not limited to: knowledge
representation, reasoning, search, knowledge acquisition, learning,
constraint programming, planning, validation and verification, project
management, natural language processing, speech, intelligent
interfaces, natural language processing, integration, problem-solving
architectures, programming environments and general tools.
Long papers in all three tracks should be limited to 5000 words and
short papers in the two applications tracks limited to 1000 words.
Papers which are significantly longer than these limits will not be
reviewed. The first page of the paper should contain the following
information (where applicable) in the order shown:
- Title.
- Authors' names and affiliation. (specify student status)
- Contact information (name, postal address, phone, fax and email address)
- Abstract: A 200 word abstract that includes a clear statement describing
the paper's original contributions and what new lesson is imparted.
- AI topic: one or more terms describing the relevant AI areas, e.g.,
knowledge acquisition, explanation, diagnosis, etc.
- Domain area: one or more terms describing the problem domain area,
e.g., mechanical design, factory scheduling, education, medicine, etc.
Do NOT specify the track.
- Language/Tool: Underlying programming languages, systems and tools used.
- Status: development and deployment status, as appropriate.
- Effort: Person-years of effort put into developing the particular
aspect of the project being described.
- Impact: A twenty word description of estimated or measured (specify)
benefit of the application developed.
Each paper accepted for publication will be allotted seven pages in
the conference proceedings. The best papers accepted in the two
applications tracks will be considered for a special issue of IEEE
EXPERT to appear late in 1991. An application has been made to
reserve a special issue of IEEE Transactions on Knowledge and Data
Engineering (TDKE) for publication of the best papers in the enabling
technologies track. IBM will sponsor an award of $1,500 for the
best student paper at the conference.
In addition to papers, we will be accepting the following types of
submissions:
- Proposals for Panel discussions. Provide a brief description of the
topic (1000 words or less). Indicate the membership of the panel and
whether you are interested in organizing/moderating the discussion.
- Proposals for Demonstrations. Submit a short proposal (under 1000
words) describing a videotaped and/or live demonstration. The
demonstration should be of a particular system or technique that
shows the reduction to practice of one of the conference topics.
The demonstration or videotape should be not longer than 15 minutes.
- Proposals for Tutorial Presentations. Proposals for three hour
tutorials of both an introductory and advanced nature are
requested. Topics should relate to the management
and technical development of useful AI applications. Tutorials
which analyze classes of applications in depth or examine
techniques appropriate for a particular class of applications are of
particular interest. Copies of slides are to be provided in advance to
IEEE for reproduction.
Each tutorial proposal should include the following:
* Detailed topic list and extended abstract (about 3 pages)
* Tutorial level: introductory, intermediate, or advanced
* Prerequisite reading for intermediate and advanced tutorials
* Short professional vita including presenter's experience in
lectures and tutorials.
- Proposals for Vendor Presentations. A separate session will be held
where vendors will have the opportunity to give an overview to
their AI-based software products and services.
IMPORTANT DATES
- August 31, 1990: Six copies of Papers, and four copies of all proposals
are due. Submissions not received by that date will be returned
unopened. Electronically transmitted materials will not be accepted.
- October 26, 1990: Author notifications mailed.
- December 7, 1990: Accepted papers due to IEEE. Accepted tutorial
notes due to Tutorial Chair.
- February 24-25, 1991: Tutorial Program of Conference
- February 26-28, 1991: Technical Program of Conference
Submit Papers and Other Materials to:
Tim Finin
Unisys Center for Advanced Information Technology
70 East Swedesford Road
PO Box 517
Paoli PA 19301
internet: finin@prc.unisys.com
phone: 215-648-2840; fax: 215-648-2288
Submit Tutorial Proposals to:
Daniel O'Leary
Graduate School of Business
University of Southern California
Los Angeles, CA 90089-1421
phone: 213-743-4092, fax: 213-747-2815
For registration and additional conference information, contact:
CAIA-91
The Computer Society of the IEEE
1730 Massachusetts Avenue, NW
Washington, DC 20036-1903
phone: 202-371-1013
CONFERENCE COMMITTEES
General Chair: Se June Hong, IBM Research
Program Chair: Tim Finin, Unisys
Publicity Chair: Jeff Pepper, Carnegie Group, Inc.
Tutorial Chair: Daniel O'Leary, University of Southern California
Local Arrangements: Alex Pelin, Florida International University, and
Mansur Kabuka, University of Miami
Program Committee:
AT-LARGE SCIENTIFIC/ENGINEERING TRACK
Tim Finin, Unisys (chair) Chris Tong, Rutgers (chair)
Jan Aikins, AION Corp. Sanjaya Addanki, IBM Research
Robert E. Filman, IntelliCorp Bill Mark, Lockheed AI Center
Ron Brachman, AT&T Bell Labs Sanjay Mittal, Xerox PARC
Wolfgang Wahlster, German Res. Center Ramesh Patil, MIT
for AI & U. of Saarlandes David Searls, Unisys
Mark Fox, CMU Duvurru Sriram, MIT
ENABLING TECHNOLOGY TRACK BUSINESS/DECISION SUPPORT TRACK
Howard Shrobe, Symbolics (chair) Peter Hart, Syntelligence (chair)
Lee Erman, Cimflex Teknowledge Chidanand Apte, IBM Research
Eric Mays, IBM Research Vasant Dhar, New York University
Norm Sondheimer, GE Research Steve Kimbrough, U. of Pennsylvania
Fumio Mizoguchi, Tokyo Science Univ. Don McKay, Unisys
Dave Waltz, Brandeis & Thinking Machines
+----------------------------------------------------------------------+
| Tim Finin finin@prc.unisys.com |
| Center for Advanced Information Technology 215-648-2840, -2288(fax) |
| Unisys, PO Box 517, Paoli, PA 19301 USA 215-386-1749 (home) |
------------------------------
Subject: ICANN-91, International Conference on Articificial Neural Networks (Call for Papers)
From: pako@neuronstar.it.lut.fi (Pasi Koikkalainen)
Date: 09 Jul 90 13:22:37 +0000
ICANN-91
==========
INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS
======================================================
Helsinki University of Technology
Espoo, Finland, June 24-28, 1991
===================================
---------------------------------------------------------
I CCC A NN N NN N 999 11
I C A A N N N N N N 9 9 1
I C A A N N N N N N === 9999 1
I C AAAAAAA N NN N NN 9 1
I CCC A A N N N N 99 1
----------------------------------------------------------
Conference Chair: Conference Committee:
Teuvo Kohonen (Finland) Bernard Angeniol (France)
Eduardo Caianiello (Italy)
Program Chair: Rolf Eckmiller (FRG)
Igor Aleksander (England) John Hertz (Denmark)
Luc Steels (Belgium)
CALL FOR PAPERS
===================
THE CONFERENCE:
===============
Theories, implementations, and applications of Artificial Neural Networks
are progressing at a growing speed both in Europe and elsewhere.
The first commercial hardware for neural circuits and systems are emerging.
This conference will be a major international contact forum for experts
from academia and industry worldwide. Around 1000 participants are expected.
ACTIVITIES:
===========
- Tutorials
- Invited talks
- Oral and poster sessions
- Prototype demonstrations
- Video presentations
- Industrial exhibition
- -------------------------------------------------------------------------
Complete papers of at most 6 pages are invited for oral or poster
presentation in one of the sessions given below:
1. Mathematical theories of networks and dynamical systems
2. Neural network architectures and algorithms
(including organizations and comparative studies)
3. Artificial associative memories
4. Pattern recognition and signal processing (especially vision and speech)
5. Self-organization and vector quantization
6. Robotics and control
7. "Neural" knowledge data bases and non-rule-based decision making
8. Software development
(design tools, parallel algorithms, and software packages)
9. Hardware implementations (coprocessors, VLSI, optical, and molecular)
10. Commercial and industrial applications
11. Biological and physiological connection
(synaptic and cell functions, sensory and motor functions, and memory)
12. Neural models for cognitive science and high-level brain functions
13. Physics connection (thermodynamical models, spin glasses, and chaos)
--------------------------------------------------------------------------
Deadline for submitting manuscripts is January 15, 1991. The Conference
Proceedings will be published as a book by Elsevier Scien ce Publishers
B.V. Deadline for sending final papers on the special forms is March 15,
1991. For more information and instructions for submitting manuscripts,
please contact:
Prof. Olli Simula
ICANN-91 Organization Chairman
Helsinki University of Technology
SF-02150 Espoo, Finland
Fax: +358 0 451 3277
Telex: 125161 HTKK SF
Email (internet): icann91@hutmc.hut.fi
---------------------------------------------------------------------------
In addition to the scientific program, several social occasions will be
included in the registration fee. Pre- and post-conference tours and
excursions will also be arranged. For more information about registration
and accommodation, please contact:
Congress Management Systems
P.O.Box 151
SF-00141 Helsinki, Finland
Tel.: +358 0 175 355
Fax: +358 0 170 122
Telex: 123585 CMS SF
============================================================================
E-mail: (internet): icann91@hutmc.hut.fi
============================================================================
------------------------------
Subject: Call for Participation in Connectionist Natural Language Processing
From: cpd@aic.hrl.hac.com
Date: Tue, 10 Jul 90 10:52:42 -0700
AAAI Spring Symposium
Connectionist Natural Language Processing
Recent results have lead some researchers to propose that connectionism
is an alternative to AI/Linguistic approaches to natural language
processing, both as a cognitive model and for practical applications.
This symposium will bring together both critics and proponents of
connectionist NLP to discuss its strengths and weaknesses.
This symposium will cover a number of areas, spanning from new phonology
models to connectionist treatments of anaphora and discourse issues.
Participants should address what is new that connectionism brings to the
study of language. The purpose of the symposium is to examine this issue
from a range of perspectives including:
Spoken language understanding/generation
Parsing
Semantics
Pragmatics
Language acquisition
Linguistic and representational capacity issues
Applications
Some of the questions expecting to be addressed include:
What mechanisms/representations from AI/Linguistics
are necessary for connectionist NLP? Why?
Can connectionism help integrate signal processing
with knowledge of language?
What does connectionism add to other theories
of semantics?
Do connectionist theories have implications for
psycholinguistics?
Prospective participants are encouraged to contact a member of the
program committee to obtain a more detailed description of the
symposium's goals and issues. Those interested in participating in this
symposium are asked to submit a 1-2 page position paper abstract and a
list of relevant publications. Abstracts of work in progress are
encouraged, and potential participants may also include 3 copies of a
full length paper describing previous work. Submitted papers or abstracts
will be included in the symposium working notes, and participants will be
asked to participate in panel discussions.
Three (3) copies of each submission should be sent to arrive by November
16, 1990 to:
Charles Dolan, Hughes Research Laboratories, RL96, 3011 Malibu Canyon
Road, Malibu CA, 90265
All submissions will be promptly acknowledged.
E-Mail inquiries may be sent to:
cpd@aic.hrl.hac.com
Program Committee: Robert Allen, Charles Dolan (chair),
James McClelland, Peter Norvig, and Jordan Pollack.
------------------------------
Subject: VLSI for AI and Neural Nets Workshop. Oxford, England Sept.'90
From: delgado@bingvaxu.cc.binghamton.edu (Jose Delgado)
Organization: SUNY Binghamton, NY
Date: 13 Jul 90 20:13:14 +0000
International Workshop on
VLSI FOR ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS
University of Oxford -- September 5-7, 1990
___________________________________________________________________
Research on architectures dedicated to artificial intelligence (AI)
processing has been increasing in recent years, since conventional
data or numerically oriented architectures are not able to provide
the computational power and/or functionality required. For the
time being these architectures have to be implemented in VLSI
technology with its inherent constraints on speed, connectivity,
fabrication yield and power. This in turn impacts on the
effectiveness of the computer architecture.
The aim of this second workshop on VLSI for AI and Neural Networks
is again to provide a forum where AI experts, VLSI and Computer
Architecture designers can come together to discuss the present
status and future trends on VLSI and ULSI implementations of
machines for AI computing. This workshop will be held in an
informal environment with poster and regular session along with
time for impromptu discussions.
To encourage interaction, the workshop will be limited to a maximum
of 70 participants. The workshop sessions, meals and accommodation
will all be provided in the unique atmosphere of Jesus College
between the evening of the 4th September and lunchtime on the 7th
September 1990. The college was founded in 1571 by Queen Elizabeth
I; meals will be taken in the traditional medieval hall, a perfect
setting for the Conference Dinner on the Thursday evening.
SPONSORS
The Workshop is organised by the University of Oxford Department
for External Studies in conjunction with the Department of
Engineering Science and the Department of Electrical Engineering at
SUNY-Binghamton. The workshop is sponsored by the University of
Oxford in association with SUNY Binghamton, ACM-SIGARCH and the IEE.
PROGRAMME COMMITTEE
Igor Aleksander, Imperial College London (UK)
Howard Card, University of Manitoba (Canada)
Jose Delgado-Frias, SUNY-Binghamton (USA)
Richard Frost, University of Windsor (Canada)
Peter Kogge, IBM (USA)
Will Moore, Oxford University (UK)
Alan Murray, University of Edinburgh (UK)
John Oldfield, Syracuse University (USA)
Lionel Tarassenko, Oxford University (UK)
Philip Treleaven, University College London (UK)
Benjamin Wah, University of Illinois (USA)
Michel Weinfield, Ecole Polytechnique (France)
ENQUIRES
Registration:
Ms. Anna Morris (VLSI for AI & NN)
CPD Unit, Department for External Studies,
University of Oxford,
Rewley House, 1 Wellington Square,
OXFORD OX1 2JA, England.
Tel.: +44 865 270360 Fax: +44 865 270708
Technical queries to:
Dr. Jose G. Delgado-Frias
Dept. of Electrical Engineering
State University of New York at Binghamton
Binghamton, NY 13901 USA
Tel.: (607)777 4806 or 4856
Email: delgado@bingvaxu.cc.binghamton.edu
(or) delgado@bingvaxa.bitnet
or Dr. Will Moore,
Department of Engineering Science,
University of Oxford,
Parks Road, OXFORD, OX1 3PJ, England.
Tel.: +44 865 273187 (or 273000)
Telex: 83295G Fax: +44 865 273010
Email: moore@vax.ox.ac.uk (not available via uupc).
BACKGROUND
The workshop, organised by the University of Oxford Department for
External Studies in conjunction with the Department of Engineering
Science, is the seventh in an occasional series on topics in VLSI
and follows the successful workshop on VLSI for Artificial
Intelligence at Oxford in 1988.
* P R O G R A M M E *
Wednesday September 5th, 1990
8.30-9.00am Registration
9.00-10.45am INTRODUCTION
Will Moore, University of Oxford
Session A: PULSE STREAM AND BIOLOGICALLY-BASED NEURAL NETS
Chairman: Howard Card, University of Manitoba
A1 "Computational Capabilities of Biologically-realistic
Analog Processing Elements"
C. Fields, M. DeYong, and R. Findley
New Mexico State University, USA
A2 "Results from Pulse-stream VLSI Neural Network Devices"
Michael J. Brownlow, Lionel Tarassenko, Alan F. Murray
Oxford University / Edinburgh University, UK
A3 "Working Analogue Pulse Stream Neural Network Chips"
Alister Hamilton, Alan F. Murray, H. Martin Reekie and
Lionel Tarassenko
Edinburgh University / Oxford University, UK
10.45-11.15am Coffee
11.15-12.45pm Session B: DIGITAL IMPLEMENTATIONS OF NEURAL NETWORKS
Chairman: Michel Weinfield, Ecole Politechnique
B1 "The VLSI Implementation of the 'sigma' Architecture"
S. R. Williams and J. G. Cleary
University of Calgary, Canada
B2 "A Cascadable VLSI Architecture for the Realization
of Large Binary Associative Networks"
Werner Poechmuller and Manfred Glesner
Technische Hochschule Darmstadt, Germany
B3 "Digital VLSI Implementations of an Associative
Memory Based on Neural Networks"
Ulrich Ruckert, Christian Kleerbaum and Karl Goser
University of Dortmund, Germany
12.50-2.00pm Lunch
2.15-4.00pm Session C: HARDWARE SUPPORT FOR AI
Chairman: Jose Delgado-Frias, SUNY-Binghamton
C1 "Incremental Garbage Collection Scheme in KL1
and its Architectural Support of PIM"
Yasunori Kimura, Takashi Chikayama, Tsuyoshi
Shinogi, and Atsuhiro Goto
Fujitsu Laboratories/ICOT, Japan
C2 "COLIBRI: A Coprocessor for Lisp based on RISC"
H Hafer, J Plankl, F J Schmitt
Siemens AG, Germany
C3 "A CAM Based Architecture for Production System Matching"
Pratibha and P. Dasiewicz
University of Waterloo, Canada
C4 "SIMD Parallelism for Symbolic Mapping"
C.J. Wang and S.H. Lavington
University of Essex, UK
4.00-4.30pm Tea
4.30-6.00pm Session D: PARALLEL MACHINES FOR PROLOG
Chairman: Peter Kogge, IBM
D1 "SYMBOL: A Parallel Incremental Architecture
for Prolog Program Execution"
A. De Gloria, P. Faraboschi, E. Guidetti
University of Genoa, Italy
D2 "Architectural Considerations for Achieving
High Performance Prolog Execution"
Mark A. Friedman and Gurindar Sohi
University of Wisconsin, USA
D3 "A Prolog Abstract Machine for Content-Addressable Memory"
Hamid Bacha
Coherent Research, Inc., USA
Thursday September 6th, 1990
9.00-10.45am Session E: ARCHITECTURES FOR ARTIFICIAL INTELLIGENCE
Chairman: Will Moore, Oxford University
E1 "VLSI Design of a 3-D Highly Parallel Message-Passing
Architecture"
J-L Bechennec, C. Chanussot, V. Neri, and D. Etiemble
Universite de Paris-Sud, France
E2 "Embedded Processor for Realtime AI and NN Applications"
Robert T. Wang, John M. Walsh, and Ron Everett
Integrated Inference Machines, USA
E3 "Architectural Design of the Rewrite Rule
Machine Ensemble"
Hitoshi Aida, Sany Leinwand and Jose Mesaguer
SRI International, USA
E4 "A Dataflow Architecture for AI"
Jose G. Delgado-Frias, Ardsher Ahmed, and Robert Payne
SUNY-Binghamton, USA
10.45-11.15am Coffee
11.15-12.45pm Session F: ANALOGUE IMPLEMENTATIONS OF NEURAL NETWORKS
Chairman: Lionel Tarassenko, Oxford University
F1 "Analog VLSI Models of Mean Field Networks"
Christian Schneider and Howard Card
University of Manitoba, Canada
F2 "An Analogue Neuron Suitable for a Data Frame Architecture"
W A J Waller, D L Bisset and P M Daniell
University of Kent, UK
F3 "A Class of Optimal-Analog Parallel Computer
Architectures for AI"
Jonathan W. Mills
Indiana University, USA
F4 "Fully Cascadable Analogue Synapses Using
Distributed Feedback"
Donald J. Baxter, Alan F. Murray, and Martin Reekie
University of Edinburgh, UK
12.50-2.00pm Lunch
2.15-4.00pm Session G: POSTER SESSION
4.00-4.30pm Tea
4.30-6.00pm Session H: IMPLEMENTATION AND APPLICATIONS OF NEURAL NETWORKS
Chairman: Dan Hammerstrom, Adaptive Solutions, Inc.
H1 "Efficient Implementation of Massive Neural Networks"
James Austin, Tom Jackson and Alan Wood
University of York, UK
H2 "A Fully Digital Neural Network Chip Using
Probability Coding"
John Shawe-Taylor, Pete Jeavons, and Max Van Daalen
University of London, UK
H3 "Parallel Analogue Computation for Real-time Path Planning"
Lionel Tarassenko and Gillian Marshall
Oxford University, UK
7.00pm Reception and Conference Dinner
Friday September 7th, 1990
9.00-10.45am Session I: ARRAYS FOR NEURAL NETWORKS
Chairman: Alan Murray, University of Edinburgh
I1 "A Highly Parallel Digital Architecture for
Neural Network Emulation"
Dan Hammerstrom
Adaptive Solutions, Inc., USA
I2 "Systolic Method for Modelling Spatio-Temporal
Properties of Neurons using Domain Decomposition"
Arno J Klassen and Rob Wiers
Delft University of Technology, The
Netherlands
I3 "A Delay-Insensitive Neural Network Engine"
C D Nielsen, J Staunstrup and S R Jones
Technical University of Denmark, Denmark
I4 "A VLSI Implementation of Multi-layered Neural
Networks: 2-Performances"
Bernard Faure and Guy Mazare
IMAG, France
10.45-11.15am Coffee
11.15-12.45pm Session J: UNI-PROCESSOR MACHINES FOR PROLOG
Chairman: Simon Lavington, University of Essex
J1 "An Extended Prolog Instruction Set for RISC Processors"
Andreas Krall
University of Vienna, Austria
J2 "A VLSI Engine for Structured Logic Programming"
P L Civera, E Lamma, P Mello, A Natali, G L
Piccinini, and M Zamboni
Politecnico di Torino, Italy
J3 "Performance Evaluation of a VLSI Associative
Unifier in a WAM Based Environment"
P L Civera, G Masera, G L Piccinini, M Ruo
Roch and M Zamboni
Politecnico di Torino, Italy
-- P O S T E R S --
G1 "Binary Neural Network with Delayed Synapses"
Tadashi Ae, Yasuhiro Mitsui, and Reiji Aibara
Hiroshima University, Japan
G2 "Implementing Neural Networks with the Associative String Processor"
A. Krikelis and M. Groezinger
Aspex Microsystems Ltd., UK
G3 "Syntactic Neural Networks in VLSI"
Simon Lucas and Bob Damper
University of Southampton, UK
G4 "Massively Parallel Neural Network Architecture for the Solution of
Linear Equations Based on the Hopfield Network"
J. R. Minick and M. A. Styblinski
Texas A&M University, USA
G5 "A New Architectural Approach for Flexible Digital Neural Network
Chip Systems"
Torben Markussen
Technical University of Denmark, Denmark
G6 "Systolic Architecture for a Subquadratic Converging Neural Network
Learning Algorithm"
Philippe De Wilde
Imperial College of Science and Technology, UK
G7 "A VLSI Implementation of a Generic Systolic Synaptic Building
Block for Neural Networks"
Christian Lehmann and Francois Blayo
Ecole Polytechnique Federale de Lausanne, Switzerland
G8 "A Learning Circuit that Operates by Discrete Means"
W P Cockshott and G Milne
University of Strathclyde, UK
G9 "A Compact and Fast Silicon Implementation for Layered Neural Networks"
F. Distante, M. G. Sami, R. Stefanelli, G. Storti-Gajani
Polytechnic of Milan, Italy
G10 "Pulse-Firing VLSI Neural Circuits for Fast Image Recognition"
S. Churcher, A. F. Murray and H. M. Reekie
University of Edinburgh, UK
G11 "The ULM - A RISC for Lisp"
Reinhard Rasche
Technical University of Berlin, Germany
G12 "Logic Flow in Active Data"
Peter Sapaty
Ukranian Academic of Sciences, USSR
G13 "A Multi-Transputer Architecture for a Parallel Logic Machine"
M. Cannataro, G. Spezzano and D. Talia
CRAI, Italy
------------------------------
Subject: IJPRAI CALL FOR PAPERS
From: "Dr. Josef Skrzypek" <skrzypek@CS.UCLA.EDU>
Date: Sun, 22 Jul 90 15:22:43 -0700
IJPRAI CALL FOR PAPERS IJPRAI
We are organizing a special issue of IJPRAI (Intl. Journal of
Pattern Recognition and Artificial Intelligence) dedicated to the
subject of neural networks in vision and pattern recognition.
Papers will be refereed. The plan calls for the issue to be
published in the fall of 1991. I would like to invite your
participation.
DEADLINE FOR SUBMISSION: 10th of December, 1990
VOLUME TITLE: Neural Networks in Vision and Pattern Recognition
VOLUME GUEST EDITORS: Prof. Josef Skrzypek and Prof. Walter Karplus
Department of Computer Science, 3532 BH
UCLA
Los Angeles CA 90024-1596
Email: skrzypek@cs.ucla.edu or karplus@cs.ucla.edu
Tel: (213) 825 2381
Fax: (213) UCLA CSD
DESCRIPTION
The capabilities of neural architectures (supervised and
unsupervised learning, feature detection and analysis through
approximate pattern matching, categorization and self-organization,
adaptation, soft constraints, and signal based processing) suggest
new approaches to solving problems in vision, image processing and
pattern recognition as applied to visual stimuli. The purpose of
this special issue is to encourage further work and discussion in
this area.
The volume will include both invited and submitted peer-reviewed
articles. We are seeking submissions from researchers in relevant
fields, including, natural and artificial vision, scientific
computing, artificial intelligence, psychology, image processing
and pattern recognition. "We encourage submission of: 1) detailed
presentations of models or supporting mechanisms, 2) formal
theoretical analyses, 3) empirical and methodological studies. 4)
critical reviews of neural networks applicability to various
subfields of vision, image processing and pattern recognition.
Submitted papers may be enthusiastic or critical on the
applicability of neural networks to processing of visual
information. The IJPRAI journal would like to encourage
submissions from both, researchers engaged in analysis of
biological systems such as modeling
psychological/neurophysiological data using neural networks as well
as from members of the engineering community who are synthesizing
neural network models. The number of papers that can be included
in this special issue will be limited. Therefore, some qualified
papers may be encouraged for submission to the regular issues of
IJPRAI.
SUBMISSION PROCEDURE
Submissions should be sent to Josef Skrzypek, by 12-10-1990. The
suggested length is 20-22 double-spaced pages including figures,
references, abstract and so on. Format details, etc. will be
supplied on request.
Authors are strongly encouraged to discuss ideas for possible
submissions with the editors.
The Journal is published by the World Scientific and was
established in 1986.
Thank you for your considerations.
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End of Neuron Digest [Volume 6 Issue 45]
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