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From: spie@animal.cc.wwu.edu (SPIE Staff)
Subject: Course: Neural Network Apps. in Signal/Image Processing
Message-ID: <spie.778376570@animal>
Keywords: SPIE courses neural networks image signal processing
Sender: news@henson.cc.wwu.edu (USENET-WWU)
Organization: Western Washington University
Date: 31 Aug 94 23:42:50 GMT
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Short Course on:


Applications of Artificial Neural Networks to Signal and Image
Processing
--------------------------------------------------------------

at SPIE's Visual Communications and Image Processing '94
          ----------------------------------------------


25-29 September (short course is September 25)
Bismarck Hotel
Chicago, Illinois USA

Cooperating Organizations:

IEEE Circuits and Systems Society
European Association for Signal Processing (EURASIP)
Optical Society of America (OSA)
============================================================


--------
Contents
--------

1.0  Short Course on:

     Applications of Artificial Neural Networks to Signal and
     Image Processing (SC1)

2.0  How to Receive More Information


--------------------------------------------------------------
1.0  Applications of Artificial Neural Networks to Signal and
     Image Processing (SC1)
--------------------------------------------------------------

Nasser M. Nasrabadi, SUNY/Buffalo

SPIE Member    $265      CEU: 0.65
WG Member      $290      8:30 am to 5:30 pm
Nonmember      $310      Sunday All Day
Medill Room              25 September

This course provides a broad introduction to the engineering
applications of Artificial Neural Networks (ANN). A large number
of neural network algorithms are reviewed. Applications that are
covered are speech recognition, character recognition,
handwritten word and digit recognition, object recognition,
control systems, system modeling and parameter estimation,
communication routing, sensor fusion, financial market
predictions, automatic target recognition, medical diagnostics,
robotics, and optimization tasks, signal characterization, and
classification.

BENEFITS: This course will enable you to:

* understand the fundamental concepts of artificial neural
networks techniques

* compare the relative merits of various neural networks and
training algorithms

* distinguish between the classical pattern recognition
algorithms and the neural network techniques

* summarize and explain the feed-forward and recurrent networks

* describe the typical applications of neural networks to signal
and image processing problems

* identify the most appropriate neural network algorithm for a
particular application.

INTENDED AUDIENCE: Managers, engineers, computer scientists, and
graduate students who are interested in disciplines such as
signal and image processing, communications and optics. Engineers
and scientists interested in acquiring the basic technical
knowledge in neural networks.

INSTRUCTOR: Nasser M. Nasrabadi is an associate professor in the
Electrical and Computer Engineering Dept. at the State Univ. of
New York at Buffalo. He is actively engaged in research in neural
networks, image processing, and computer vision. He has published
over one hundred papers in journals and conference proceedings.
He is an associate editor of the IEEE Transaction on Image
Processing.


------------------------------------
2.0  How to Receive More Information
------------------------------------

The complete text of the printed program for _Visual
Communications and Image Processing '94_ is available via
anonymous FTP at:

spie.org  meetings/programs/  vc94_conferences.txt
                              vc94_courses.txt
                              vc94_general.txt


It is also available through SPIE's automated e-mail server:

Send an e-mail message to,

   info-optolink-request@spie.org

with the following text in the message body:

   send [optolink.meetings.programs]FILENAME.txt


To request a printed program via e-mail contact:

spie@spie.org


For information regarding this meeting or other SPIE symposia or
publications, contact SPIE at:

SPIE International Headquarters
P.O. Box 10
Bellingham, WA 98227-0010 USA
Telephone:     206/676-3290 (Pacific Time)
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The details of this program are based on commitments received up
to the time of publication and are subject to change without
notice.

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