Date: 24 Mar 92 14:46:05-PST
From: Vision-List moderator Phil Kahn <Vision-List-Request@ADS.COM>
Errors-to: Vision-List-Errors@ADS.COM
Reply-to: Vision-List@ADS.COM
Subject: VISION-LIST digest 11.11
To: Vision-List@ADS.COM

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
 - If you don't have access to COMP.AI.VISION, request list 
   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
************************
