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VISION-LIST Digest Volume 11 Issue 11
VISION-LIST Digest Tue Mar 24 14:46:05 PDT 92 Volume 11 : Issue 11
- Send submissions to Vision-List@ADS.COM
- Vision List Digest available via COMP.AI.VISION newsgroup
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membership to Vision-List-Request@ADS.COM
- Access Vision List Archives via anonymous ftp to FTP.ADS.COM
Today's Topics:
Frame Grabber Cards for 368 & 486 machines
Frame grabber
Announcing Release of ORT-1.7
DARPA Workshop on Computational Sensors
CFP: Machine Vision Applications, Arch. & Intell. Autonomous Sys. conference
Prelim. Report -- NSF HPCC Workshop on Vision, Nat. Lang./Speech Proc., AI
FUZZ-IEEE'93 call for papers (revised)
----------------------------------------------------------------------
Date: 24 Mar 92 08:19:00 EST
From: "CTL::GATEWOOD" <gatewood%ctl.decnet@natc-fw.navy.mil>
Subject: Frame Grabber Cards for 368 & 486 machines
Does anyone have current marketing and performance information
on frame grabber cards currently available for the IBM PC class
of machines? Thank you for your help.
Pat Gatewood
301/737-6081
------------------------------
Date: 24 Mar 92 22:19:23 GMT
From: olivier@coral.cs.jcu.edu.au (Olivier de Vel)
Organization: James Cook University
Subject: Frame grabber
I am looking to purchase a frame grabber + camera for an IBM-PC
compatible. A minimum of 512 x 512 x 8-bits is required (multiple
buffers even better). All I need it for is capturing frames for
further processing on another platform (DecStation) - so minimal
software is required.
Does anyone have addresses of suppliers/distributors in the US and
Australia (or anywhere else) ?
Any comments on the product(s) most welcome.
Thanks in advance.
Olivier de Vel
| Olivier de Vel, Voice : (077) 814619 (Australia) |
| Department of Computer Science, +61 77 814619 (International) |
| James Cook University, Fax : (077) 814029 (Australia) |
| Townsville QLD 4811, +61 77 814029 (International) |
| AUSTRALIA. Internet : olivier@curacoa.cs.jcu.edu.au |
------------------------------
Date: Mon, 9 Mar 92 20:01 GMT
From: The Maverick <ATAE@spva.physics.imperial.ac.uk>
Subject: Announcing Release of ORT-1.7
=======================================================
Announcing Object Recognition Toolkit (ORT) Version 1.7
=======================================================
DESCRIPTION:
ORT is a collection of image understanding S/W in C aimed for use on Unix
platforms (tested on Sun4, Decstation, Iris). The S/W is in the form of
filters and includes a displayer for use on colour workstations under X11R4/5.
All the S/W comes with the GNU general public licence. Also included are
copies of papers on some of the S/W (FEX, LPEG in LaTeX, vipwob in postscript).
A compressed tarfile (ORT-1.7.tar.Z) of the distribution maybe obtained by
anonymous ftp from:
ftp.ads.com [128.229.36.25]
in directory /pub/VISION-LIST-ARCHIVE/SHAREWARE/ORT-1.7
The tarfile should be 1859584 bytes in size. I will also put a compressed
tarfile on ftp.uu.net in the directory tmp by request from anyone having
problems. My full Email address is at the end.
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
Please ensure you are using BINARY mode for transfers.
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
CODE DESCRIPTION
Liste List handling library in C by Jean-Paul Schmidt formerly
of University of Surrey, UK.
RW_ChainPixels Pixel Chainning code by Geoff A.W. West and Paul L. Rosin
of Curtin University, Australia
FEX Descibes chained pixel lists produced by RW_ChainPixels in
terms of straight-lines and circular arcs (version 1.7 is
more accurate than older versions).
LPEG Low-level straight-line grouping. Groups straight-line
segments produced by FEX into:
Parallel overlapping
Parallel non-overlapping
Collinear
V,L,T, and Lambda Junctions
IPEG Intermediate-level grouping. Groups sets produced by LPEG
into:
Triplets (barends, Z)
Corners (3 lines sharing a junction point)
Polygons (currently restricted to 7 sides max.)
NOTE: This is version 1.0 (ie the fist release version) which
It does not implement my full algorithm yet, so it is
relatively slow. A more general faster implementation will
be released in the future when I have time to do more work
on it. I'll publish a paper on it someday.
DisplayPEG X11R4/5 viewer for the above groupings/segments by
Jean-Paul Schmidt and Ata Etemadi
vipwob Vipwob, a skeleton system for distributed processing
Copyright (C) 1991 DB-K, Dansk Billedbehandlings-Konsortium
LBA/AUC
University of Aalborg
DK-9220 Aalborg East.
I would appreciate it if people who obtain the S/W drop me a line. All
contributions/comments to the distribution are most welcome. If you have
any problems I'll be glad to help, but please read the README and HOWTO
files first !!
ACKNOWLEDGEMENTS:
My thanks go to the following for their contributions toward preparing
the distribution:
K.C. Wong Brian Bell Sanjay Bhasin
Graeme Jones Gilberto Campos Seshagiri Ala
regards
| Mail Dr Ata Etemadi, Blackett Laboratory, |
| Imperial College of Science and Technology, |
| Prince Consort Road, London SW7 2BZ, ENGLAND |
| Phone +44 (0)71 589 5111 Ext 6751 |
| Fax +44 (0)71 823 8250 Attn. Dr Ata Etemadi, |
| Fax +44 (0)71 589 9463 Attn. Dr Ata Etemadi, |
| Telex 929484 (IMPCOL G) Attn. Dr Ata Etemadi, |
| Janet atae@uk.ac.ic.ph.spva or ata@uk.ac.ucl.mssl.c |
| Earn/Bitnet atae@spva.ph.ic.ac.uk or ata@c.mssl.ucl.ac.uk |
| Internet/Arpanet atae%spva.ph.ic.ac.uk or ata%c.mssl.ucl.ac.uk |
| or atae%spva.ph.ic@ac.uk or ata%c.mssl.ucl@ac.uk |
| Span SPVA::atae (19773::atae) or |
| MSSLC::ata (19708::atae) |
| RLESIS::cbs%uk.ac.ic.ph.spva::atae or |
| RLESIS::cbs%uk.ac.ucl/mssl.c::ata |
| or ecd1::323mwd (Space Phys. Span account at esoc) |
| UUCP/Usenet atae%spva.ph.ic@nsfnet-relay.ac.uk or |
| ata%c.mssl.ucl@nsfnet-relay.ac.uk |
------------------------------
Date: Fri, 20 Mar 92 19:35:50 EST
From: tk@CS.CMU.EDU (Takeo Kanade)
Subject: DARPA Workshop on Computational Sensors
DARPA WORKSHOP
ON COMPUTATIONAL SENSORS
May 11-12, 1992
University of Pennsylvania
Co-Chair:
Takeo Kanade (CMU)
Ruzena Bajcsy (UPenn)
Computational Sensors are those which incorporate computation at
the level of sensing to increase their performance and achieve
new capabilities that were not otherwise possible. They may
attach analog or digital processing circuits to each pixel,
exploit unusual geometry of sensing elements, or use the physics
of underlying material for computation.
The potential of such integration for transducing and processing
signals has been recognized for some time, but in the past,
research and development in this area were driven mostly by
curiosity. Today, however, with the advancement of VLSI
technologies, there is a growing body of research which attempts
to harness this potential into new applications in image
understanding, robotics, and human-computer interfaces. Recently,
several such computational sensors have actually been fabricated
and have been demonstrated to perform excellently.
The purpose of this workshop is to bring together the developers
and users of computational sensors to define the state of the
art, discuss the issues, and identify the promising approaches
and applications of this important new technology. The output
of the workshop will be a brief report indicating the nature of a
possible DARPA-supported program.
The workshop will consist of several key presentations followed
by group discussions and overall summaries. To ensure active
discussions, the workshop will be limited to roughly 40
attendees. A small workshop fee will be assessed to cover a
general cost. Details of the workshop schedule will be announced
later.
If you are interested in attending this workshop, please send a
request to Professor Takeo Kanade (tk@cs.cmu.edu) with your name,
address (physical and e-mail), phone and fax numbers, as well as
a brief note stating your particular work which is relevant to
this workshop.
------------------------------
Date: Mon, 23 Mar 1992 11:33:32 +1200
From: chris@ferrari.ida.dsir.govt.nz (Chris Bowman)
Subject: CFP: Machine Vision Applications, Arch. & Intell. Autonomous Sys. conference
Announcement and Call for Papers
Machine Vision Applications, Architectures, and Systems Integration
Part of SPIE's OE/Technology '92
An Applications Symposium on Optics, Electro-Optics, and Lasers in Industry
15-20 November 1992, Hynes Convention Center
Boston, Massachusetts USA
Conference Chairs: Bruce G. Batchelor, Univ. of Wales College Cardiff
(UK)
Susan Snell Solomon, Datacube, Inc.
Frederick M. Waltz, 3M Co.
Program Committee: Rolf-Jurgen Ahlers, Fraunhofer-Institut, IPA (FRG)
Chris C. Bowman, DSIR Industrial Development (NZ)
Michael J. W. Chen, AITech International Corp.
Aziz Chihoub, Siemens Corporate Research Inc.
John W. V. Miller, Univ. of Michigan/Dearborn
Michael A. Snyder, 3M Co.
Gordon T. Uber, Lockheed Missiles & Space Co.,
Inc.
Competitive pressures demand ever increasing production rates and even
tighter quality control. Before machine vision systems can achieve their
full potential in helping to meet these objectives, further improvements
are needed in resolution, speed, sophistication, cost, and ease of
application. This conference is devoted to advancing the state of the art
in all aspects of the application of machine vision to industrial
inspection. Papers are solicited in three categories, with special emphasis
on combinations of two or more aspects:
Applications and case studies, including:
* successful applications, especially those in which good systems
integration
was essential for success
* interesting or unusual solutions to some part of the overall problem,
such as special lighting, problem reformulations leading to more
effective
solutions, novel ways of handling interprocessor communications etc.
* "work in progress" or significant unsolved problems
High-speed architectures, including:
* high-speed implementations and nonconventional configurations
* specialized processing architectures or hardware: Hough, log-polar,
morphology, etc.
* arrays of processors; parallel decompositions of algorithms
* techniques for handling very high data rates, such as from laser scanners
or
high-speed photography
* software architectures and hierarchies
Systems integration, including:
* design aids and "advisors" for system design and configuration: optics,
lighting, processor interconnection, I/O, etc.
* design aids and "advisors" for algorithm development, target system
programming, and system documentation
* improved interfaces for system designers and integrators
* factory-floor interfaces for nonexpert users
* on-line applications of "intelligent" systems, neural nets etc.
| Abstract Due Date: 20 Aril 1992* |
| Manuscript Due Date: 24 August 1992** |
| |
| *Note: Late abstract submissions may be considered, subject to |
| program time availability and chair's approval. |
| **Note: Proceedings of this conference will be published before |
| the meeting and will be available at the symposium. The |
| manuscript due date of 24 August 1992 must be strictly |
| observed. |
Please limit your abstract/biography submission to one page as follows:
* Title of Abstract/Paper,
* Authors' full names, company names
(list principal author first)
List the authors' complete addresses, and telephone/fax/telex numbers.
* Placement
Please indicate that your abstract is intended for the conference on
Machine Vision Applications, Architectures, and Systems Integration
(Batchelor, Solomon, Waltz) at OE/Technology '92 and whether the
presentation is oral or a poster.
* Abstract text
The abstract should be 200 words typed on white paper and should contain
enough detail to clearly convey the approach and the results of the
research.
Government and company clearance to present and publish should be
final at the time of submission.
* Brief biography: 50 to 100 words
Include, on the same page, a brief (50-100 words) biographical sketch.
Send four (4) copies of your abstract by 20 April 1992 to:
OE/Technology '92,
SPIE, P.O. Box 10, Bellingham, WA 98227-0010, USA.
Shipping address:
1000 20th St., Bellingham, WA 98225, USA. (Fax) 206-647-1445.
Condition of Acceptance: Authors are expected to secure travel and
accommodation funding, independent of SPIE, through their sponsoring
organizations before submitting abstracts.
Placement: Submissions may be placed in an oral or poster session at
the chair's discretion. Applicants will be notified of acceptance by
27 July 1992.
Proceedings of these meetings: These meetings will result in published
Proceedings that can be ordered through the Advance Program. Manuscripts
are required of all accepted applicants and must be submitted in English by
24 August 1992 on SPIE-provided paper. Copyright to the manuscript is
expected to be released for publication in the conference Proceedings.
Paper Review: Commercial papers, descriptions of papers with no
research content, and papers where supporting data or a technical
description cannot be given for proprietary reasons will not be
accepted for presentation in this symposium. To assure a high-quality
conference, all abstracts and Proceedings papers will be reviewed by
the Conference Chairs for technical merit and content.
Oral Presentation: Each author is generally allowed 20 minutes plus a
5-minute discussion period. SPIE will provide the following media
equipment free of charge: 35 mm carousel slide projectors, overhead
projectors, and electric pointers. Additional equipment may be
arranged by SPIE at the speaker's expense.
Author Benefits: An author or co-author be accorded a reduced-rate
registration fee. Included with fee payment are a copy of the Proceedings
in which the author's paper appears, a complimentary one-year nonvoting
membership in SPIE
(if never before a member), and other special benefits.
In North America: SPIE, P.O. Box 10, Bellingham, WA 98227-0010, USA
Telephone 206-676-3290 (Pacific time),
Telex 46-7053, Fax 206-647-1445,
Opto-Link 206-733-2998, E-mail spie@nessie.wwu.edu
CompuServe 71630,2177
Shipping Address: 1000 20th Street, Bellingham, WA 98225, USA
In Europe: Xantener Strasse 22, D 1000 Berlin 15, FR Germany
Telephone 49-30-881-5047, Fax 49-30-882-2028,
Telex 181 479 speco d
In the Far East, c/o O.T.O. Research Corporation, Takeuchi Building,
Australia, and 1-34-12 Takatanobaba, Shinjuku-ku, Tokyo 160, Japan
New Zealand: Telephone 03/3208-7821, Fax 03/3200-2889,
Telex 232 4119 otores j
------------------------------
Date: Tue, 24 Mar 92 09:37:35 -0500
From: cet+@IUS4.IUS.CS.CMU.EDU (Chuck Thorpe)
Organization: School of Computer Science, Carnegie Mellon
Subject: Intelligent Autonomous Systems conference
THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS: IAS-3
Conference Announcement and Preliminary Call for Papers
Pittsburgh PA, USA, February 15 through 19, 1993
After two successful meetings in Amsterdam, the IAS Conference is coming to
Pittsburgh. IAS-3 will feature invited and submitted papers on all aspects
of intelligent systems. The conference will bring together international
researchers to discuss complete autonomous systems, as well architectures,
tools, components and techniques. The emphasis will be on implemented
systems, and on the specialization of components and tools for building
autonomous systems.
Topics will include all aspects of intelligent autonomous systems, such as:
smart sensors, mobile robots, neural networks, image understanding,
intelligent control, system design tools, architectures, integrated factory
automation, and applications.
Location: The conference site will be the Westin William Penn Hotel,
downtown Pittsburgh's landmark grand hotel, dating from the era of the great
steel barons of the early 1900's. A special discounted rate will be made
available to conference participants. The conference schedule will include
a tour of the nearby Robotics Institute of Carnegie Mellon University, and
various social events around the city.
Paper submissions: Four copies of extended abstracts (double-spaced, not
exceeding four pages) must be received by the conference secretariat before
August 1 1992 to be considered. Notification of acceptance will be sent to
the authors by October 1, and the full camera-ready paper must be returned
by November 15.
Further information: For further information or a copy of the advance
program when available, write to:
Mrs. Patty Mackiewicz
Robotics Institute
Carnegie Mellon University
Pittsburgh PA 15213
FAX: 412 621 1970
phone: 412 268 3838
email: patty@ri.cmu.edu
Conference co-chairs:
F. Groen, University of Amsterdam
S, Hirose, Tokyo Institute of Technology
C. Thorpe, Carnegie Mellon University
Preliminary Program Committee:
A. Casals, Universitat Politecnica de Catalunya
J. L. Crowley, LIFIA, Grenoble
L. S. Davis, University of Maryland
L.O. Fothergill, King's College
T. C. Henderson, University of Utah
L.O. Hertzberger, University of Amsterdam
Takeo Kanade, Carnegie Mellon University
J. J. Koenderink, Rijksuniversiteit Utrecht
L. F. Pau, Digital Equipment Corp.
U. Rembold, Universitat Karlsruhe
G. Schmidt, Universitat Karlsruhe
Y. Shirai, Osaka University
------------------------------
Date: Fri, 6 Mar 92 13:15:55 CST
From: hpcc@aquinas.csl.uiuc.edu (Benjamin W. Wah)
Subject: Prelim. Report -- NSF HPCC Workshop on Vision, Nat. Lang./Speech Proc., AI
This report is posted on multiple electronic boards so it will have
wide access to researchers interesed in the HPCCI.
B. Wah
University of Illinois
Distribution:
Bulletin Boards: comp.ai
comp.ai.neural-nets
comp.ai.nlang-know-rep
comp.ai.vision
comp.arch
comp.graphics
comp.graphics.research
comp.parallel
comp.realtime
comp.robotics
comp.sys.super
comp.ai.nlang-know-rep
comp.ai.vision
comp.graphics.research
comp.parallel
Mailing lists: IR-L@UCCVMA.BITNET
supercomputer@nyu.edu
______________________________________________________________________________
Preliminary Report
Workshop on High Performance Computing
and Communications for Grand Challenge Applications:
Computer Vision, Natural Language and Speech Processing,
and Artificial Intelligence
1. INTRODUCTION
This article reports preliminary findings of the Workshop on High Per-
formance Computing and Communications (HPCC) for Grand Challenge Applica-
tions: Computer Vision, Natural Language and Speech Processing, and Artifi-
cial Intelligence.
Under the support of National Science Foundation, this workshop
brought together 23 invited experts from academia and industry. The goal
of the workshop was to identify near-term (within five years) and long-term
(beyond five years) problems and potential approaches/research directions
in supporting grand challenge applications in computer vision, natural
language and speech processing, and artificial intelligence (AI) by HPCC
systems. Attendees focused on answering the following questions.
a) What grand challenge applications in computer vision, natural language
and speech processing, and AI can benefit by the availability of HPCC
systems?
b) How should HPCC systems be designed so that they can support grand
challenge applications in these areas?
Preparation of the workshop started in late January 1992. Over 40
experts in the three areas and 19 program directors from National Science
Foundation were invited. The workshop was held on February 21 and 22, 1992
in Arlington, Virginia, with 23 experts from academia and industry attend-
ing and 12 program directors from National Science Foundation serving as
observers.
Participants in the workshop were divided into three areas, with a
vice-chair identified for each. Before the workshop, each vice-chair soli-
cited position statements from members of his area, and coordinated the
discussions of issues. Separate discussions in the three areas took place
on the morning of February 21. In each area, the vice-chair first
presented an overview of issues, followed by a short presentation by each
____________________
This workshop was supported by National Science Foundation under grant
IRI-9212592. Ideas reported here do not reflect the official position of
the sponsoring agency.
Preparation of this report was coordinated by Benjamin W. Wah, Thomas
Huang, Aravind K. Joshi, and Dan Moldovan. Questions regarding this arti-
cle can be directed to them or to any of the attendees listed in Section 3.
March 6, 1992 2
member of the area, including the vice-chair. Based on comments received
during these presentations and further extensive discussions on the after-
noon of February 21, the vice-chair, in consultation with members of the
area, prepared a summary report. These reports were presented by the
vice-chairs on the morning of February 22 and led to considerable discus-
sion. The next section contains a summary of the ideas discussed on Febru-
ary 22. The final report, to be released in late April, will be prepared
on the basis of this preliminary report and further discussions among the
participants through electronic mail.
This report contains a collection of ideas expressed by individuals at
the workshop; it does not necessarily represent a consensus among all the
participants. Further, ideas expressed in this report do not reflect the
official position of the sponsoring agency.
2. SUMMARY OF IDEAS
2.1. Computer Vision Area
Computer vision has two goals. From the engineering viewpoint, the
goal is to build autonomous systems that can perform some tasks that the
human visual system can do, and even go beyond the capabilities of the
human visual system in multimodality, speed, and reliability. From the
scientific viewpoint, the goal is to develop computational theories of
vision, and by so doing, gain insights into human visual perception.
Grand challenge applications in computer vision fall in two classes.
a) Autonomous vision systems have many important applications. Examples
include i) flexible manufacturing, ii) intelligent vehicle highway systems,
iii) environment monitoring, and iv) visual man-machine interface and
model-based compression for telecommunication, multimedia, and education.
Note that most of the applications involve interaction of the vision system
with the environment and humans. b) Computer vision techniques can also be
invaluable tools for studying many basic scientific problems in other
areas. A prominent example is the visual understanding of turbulence in
fluid flow.
The basic scientific issues underlying the applications are i) machine
learning, ii) surface reconstruction, inverse optics, and integration, iii)
model acquisition, and iv) perception and action.
HPCC support for computer vision can be divided into three classes.
1) Vision Systems. There are two cases: i) designing vision systems, and
ii) running vision systems. Both require huge amounts of computation power
and memory. In addition, vision systems often require real-time operation,
low-cost, low power, small volume, and low weight. For instance, a vision
system may receive as its input 1-100 gigabits/second of image data that
need to be processed in real time. 2) Vision Tasks. Tasks in a vision
system fall into roughly three categories: low-level (e.g., noise reduc-
tion, data interpolation, feature extraction, and matching), intermediate-
level (e.g., grouping), and high-level (e.g., object recognition). To per-
form these tasks efficiently, each level may require different types of
March 6, 1992 3
computer architectures. Therefore, for many vision systems, a heterogene-
ous parallel architecture may be the best answer. Of particular interest
is the scalability of such architectures, especially the question of how
the different components can be easily ``glued'' together, and the communi-
cation and control pathways between the different homogeneous parallel pro-
cessors. Another challenge is to develop easy-to-use software for such
architectures. 3) Distributed Processing. In many vision systems, compu-
tations need to be carried out at several different locations. Thus, dis-
tributed computing is of great importance. One aspect of this problem is
the transmission and management of huge amounts of image data.
Computer vision is related to other grand challenge areas because a)
many applications, such as video compression and man-machine interface,
involve both vision and speech; and b) AI techniques, such as knowledge-
based reasoning, are needed in vision systems.
Infrastructure supports for computer vision include a) sharing image
databases, software over high-bandwidth networks, and b) providing facili-
ties and incentives for architects and computer-vision researchers to work
together.
2.2. Natural Language and Speech Processing Area
Grand Challenge applications in this area include a) electronic
libraries and librarians, which include the use of spoken language inter-
faces, machine translation, and full text retrieval, and b) spoken language
translation.
The fundamental scientific and enabling technologies include a) corpus
based natural language processing (NLP) that involves the acquisition of
linguistic structure, b) statistical approaches to NLP, c) language
analysis and search strategies, d) auditory and vocal-tract modeling, e)
integration of multiple levels of speech and language analyses, f) connec-
tionist speech and language processing, g) full text retrieval techniques,
and h) special-purpose architectures.
Bridges to other grand challenge areas include a) optical character
reader (OCR), b) handwriting analysis, c) document image analysis, d)
multi-media interfaces, and e) integration of multiple knowledge sources.
Architectural needs for supporting natural language and speech pro-
cessing include a) faster processors with larger memory, b) general purpose
supercomputing, c) heterogeneous architectures, such as systems including
signal processing and symbolic processing capabilities, d) homogeneous
architectures not requiring wide floating point arithmetic, such as those
for modeling connectionist architectures, and e) high-bandwidth real-time
inputs and outputs.
Infrastructure supports include a) shareable text and speech data-
bases, b) smart compilers and open parallel systems, c) technical staff for
developing sharable tools, and d) access to high-performance computing
through high-performance wide-area networks.
March 6, 1992 4
2.3. Artificial Intelligence/Computer Architecture
This area covers the broad field of AI and the computer architectural
support for HPCC AI systems.
Some of the grand challenge applications are a) nation-wide job banks,
b) electronic library, c) electronic market places, d) large-scale real-
time planning and scheduling, e) automation in constructing very large
knowledge bases, and f) automation of decision making. For example, an
electronic library may involve a diverse collection of text, images, data-
bases, and other information scattered around the net in an assortment of
formats. Users will need an intelligent librarian program to help guide
them through all this information. The librarian will need to communicate
with users in natural language and understand something about text stored
in the network.
The basic research issues and enabling technologies underlying the
applications include a) study and design of scalable and verifiable ``trad-
itional'' symbolic AI/expert systems, b) construction and utilization of
very large knowledge bases, c) development of highly parallel machine
learning techniques, d) research on active memories as a means of increas-
ing the contribution of knowledge sources in reasoning, e) development and
evaluation of marker/value passing techniques, f) application of neural
networks to AI, and g) further studies of heuristic search techniques
applied to problem solving.
Some computer architecture implications are a) increased use of mas-
sively parallel processing techniques with a goal of achieving real-time AI
processing, b) understanding of the computational requirements of various
AI paradigms and how they translate into system requirements in order to
either build specialized systems or improve the mapping of AI problems into
existing high performance computers, c) understanding of the architecture
of systems supporting both numeric and symbolic AI problems, d) development
of knowledge base management techniques for implementing efficient multi-
level knowledge based systems, e) deciding when it is best to use general-
purpose versus specialized accelerators, and f) development of compilers
for AI languages on today's supercomputers.
Required infrastructure supports include a) access to large fast com-
puters by the AI community, b) access to on-line large knowledge bases and
corpora, c) sharing systems and research results achieved in large projects
by the community, and d) development of computational benchmarks for impor-
tant AI paradigms.
3. WORKSHOP ATTENDEES
Workshop Chair Benjamin W. Wah University of Illinois, Urbana-Champaign
wah@aquinas.csl.uiuc.edu
Vision Area Thomas Huang University of Illinois, Urbana-Champaign
(Area Vice Chair) huang@uicsl.csl.uiuc.edu
March 6, 1992 5
John Aloimonos University of Maryland, College Park
yiannis@alv.umd.edu
Ruzena K. Bajcsy University of Pennsylvania
bajcsy@central.cis.upenn.edu
Dana Ballard University of Rochester
dana@cs.rochester.edu
Charles R. Dyer University of Wisconsin, Madison
dyer@cs.wisc.edu
Tomaso Poggio Massachusetts Institute of Technology
poggio@ai.mit.edu
Edward M. Riseman University of Massachusetts, Amherst
riseman@cs.umass.edu
Steven L. Tanimoto University of Washington
tanimoto@cs.washington.edu
Natural Language and Speech Processing Area
Aravind K. Joshi University of Pennsylvania
(Area Vice Chair) joshi@central.cis.upenn.edu
Ralph Grishman New York University
grishman@nyu.edu
Lynette Hirschman Massachusetts Institute of Technology
hirschman@goldilocks.lcs.mit.edu
Stephen E. Levinson AT&T Bell Laboratories
sel@research.att.com
Nelson H. Morgan University of California, Berkeley
morgan@icsi.berkeley.edu
Sergei Nirenburg Carnegie-Mellon University
sergei@nl.cs.cmu.edu
Craig Stanfill Thinking Machines Corporation
craig@think.com
Artificial Intelligence and Computer Architecture Area
Dan Moldovan University of Southern California
(Area Vice Chair) moldovan@gringo.usc.edu
Doug DeGroot Texas Instruments
degroot@dog.dseg.ti.com
Kenneth DeJong George Mason University
kdejong@aic.gmu.edu
Scott E. Fahlman Carnegie-Mellon University
scott.fahlman@cs.cmu.edu
Richard E. Korf University of California, Los Angeles
korf@cs.ucla.edu
Daniel P. Miranker University of Texas, Austin
miranker@cs.utexas.edu
Salvatore J. Stolfo Columbia University
sal@cs.columbia.edu
Benjamin W. Wah University of Illinois, Urbana-Champaign
wah@aquinas.csl.uiuc.edu
National Science Foundation Observers
Syed Kamal Abdali Numeric, Symbolic, & Geom. Computations
kabdali@nsf.gov
Paul G. Chapin Linguistics
pchapin@nsf.gov
March 6, 1992 6
Su-Shing Chen Knowledge Models and Cognitive Systems
schen@nsf.gov
Bernard Chern Microelectronic Info. Proc. Systems
bchern@nsf.gov
Y. T. Chien Info., Robotics, & Intelligent Systems
ytchien@nsf.gov
John H. Cozzens Circuits and Signal Processing
jcozzens@nsf.gov
John D. Hestenes Interactive Systems
jhestene@nsf.gov
Richard Hirsch Supercomputer Center
rhirsch,@nsf.gov
Howard Moraff Robotics and Machine Intelligence
hmoraff@nsf.gov
John Lehmann Microelectronic Info. Proc. Systems
jlehmann@nsf.gov
Pen-Chung Yew Microelectronic Systems Architecture
pyew@nsf.gov
Zeke Zalcstein Computer Systems Architecture
zzalcste@nsf.gov
------------------------------
Date: Fri, 20 Mar 1992 00:51:32 GMT
From: berenji@ptolemy.arc.nasa.gov (Hamid Berenji)
Organization: NASA/ARC Information Sciences Division
Subject: FUZZ-IEEE'93 call for papers (revised)
CALL FOR PAPERS
SECOND IEEE INTERNATIONAL
CONFERENCE ON FUZZY SYSTEMS
FUZZ-IEEE'93
San Francisco, California
March 28 - April 1, 1993
In recent years, increasing attention has been devoted to fuzzy-logic
approaches and to their application to the solution of real-world
problems.
The Second IEEE International Conference on Fuzzy Systems (FUZZ-IEEE
'93) will be dedicated to the discussion of advances in:
* Basic Principles and Foundations of Fuzzy Logic
* Relations between Fuzzy Logic and other Approximate
Reasoning Methods
* Qualitative and Approximate-Reasoning Modeling
* Hardware Implementations of Fuzzy-Logic Algorithms
* Learning and Acquisition of Approximate Models
* Relations between Fuzzy Logic and Neural Networks
* Applications to
* System Control
* Intelligent Information Systems
* Case-Based Reasoning
* Decision Analysis
* Signal Processing
* Image Understanding
* Pattern Recognition
* Robotics and Automation
* Intelligent Vehicle and Highway Systems
This conference will be held concurrently with the 1993 IEEE
International Conference on Neural Networks. Participants will be
able to attend the technical events of both meetings.
CONFERENCE ORGANIZATION
This conference is sponsored by the IEEE Neural Networks Council, in
cooperation with:
International Fuzzy Systems Association
North American Fuzzy Information Processing Society
Japan Society for Fuzzy Theory and Systems.
IEEE Systems, Man, and Cybernetics Society
ELITE - European Laboratory for Intelligent Techniques Engineering
The conference includes tutorials, exhibits, plenary sessions, and
social events.
ORGANIZING COMMITTEE
GENERAL CHAIR: Enrique H.Ruspini
Artificial Intelligence Center
SRI International
CHAIR: Piero P. Bonissone
General Electric CR&D
PROGRAM ADVISORY BOARD:
J. Bezdek E. Sanchez E. Trillas
D. Dubois Ph. Smets T. Yamakawa
G. Klir M. Sugeno L.A. Zadeh
H. Prade T. Terano H.J. Zimmerman
FINANCE:
R. Tong (Chair)
R. Nutter
PUBLICITY:
H. Berenji (Chair)
B. D'Ambrosio
R. Lopez de Mantaras
T. Takagi
LOCAL ARRANGEMENTS:
S. Ovchinnikov
TUTORIALS:
J. Bezdek (Chair)
H. Berenji
H. Watanabe
EXHIBITS:
A. Ralescu
M. Togai
L. Valverde
W. Xu
T. Yamakawa
H.J. Zimmerman
TUTORIAL INFORMATION
The following tutorials have been scheduled:
Introduction to Fuzzy-Set Theory, Uncertainty, and Fuzzy Logic
Prof. George J. Klir, SUNY
Fuzzy Logic in Databases and Information Retrieval
Prof. Maria Zemankova, NSF
Fuzzy Logic and Neural Networks for Pattern Recognition
Prof. James C. Bezdek, Univ. of West Florida
Hardware Approaches to Fuzzy-Logic Applications
Prof. Hiroyuki Watanabe, Univ. North Carolina
Fuzzy Logic and Neural Networks for Control Systems
Dr. Hamid R. Berenji, NASA Ames Research Center
Fuzzy Logic and Neural Networks for Computer Vision
Prof. James Keller, Univ. of Missouri
EXHIBIT INFORMATION
Exhibitors are encouraged to present the latest innovations in fuzzy
hardware, software, and systems based on applications of fuzzy logic.
For additional information, please contact Meeting Management at Tel.
(619) 453-6222, FAX (619) 535-3880.
CALL FOR PAPERS
In addition to the papers related to any of the above areas, the
program committee cordially invites interested authors to submit
papers dealing with any aspects of research and applications related
to the use of fuzzy models. Papers will be carefully reviewed and only
accepted papers will appear in the FUZZ-IEEE '93 Proceedings.
DEADLINE FOR PAPERS: September 21, 1992
Papers must be received by September 21, 1992. Six copies of the paper
must be submitted. The paper must be written in English and its
length should not exceed 8 pages including figures, tables, and
references. Papers must be submitted on 8-1/2" x 11" white paper with
1" margins on all four sides. They should be prepared by typewriter
or letter-quality printer in one column format, single-spaced, in
Times or similar type style, 10 points or larger, and printed on one
side of the paper only. Please include title, author(s) name(s) and
affiliation(s) on top of first page followed by an abstract. FAX
submissions are not acceptable. Please send submissions prior to the
deadline to:
Dr. Piero P. Bonissone
General Electric Corporate Research and Development
Building K-1, Room 5C32A
1 River Road
Schenectady, New York 12301
FOR ADDITIONAL INFORMATION REGARDING FUZZ-IEEE'93 PLEASE
CONTACT:
Meeting Management
5665 Oberlin Drive Suite 110
San Diego CA 92121
Tel. (619) 453-6222
FAX (619) 535-3880
------------------------------
End of VISION-LIST digest 11.11
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