Advance Program NNSP'93
Gary M. Kuhn
gmk at learning.siemens.com
Fri Jul 23 10:20:17 EDT 1993
ADVANCE PROGRAM
1993 IEEE Workshop on Neural Networks for Signal Processing
September 6 - September 9, 1993
Maritime Institute of Technology and Graduate Studies
Linthicum Heights, Maryland, USA
Sponsored by
IEEE Signal Processing Society
(In Cooperation with IEEE Neural Networks Council)
Co-sponsored by
Siemens Corporate Research
ARPA-MTO
INVITATION TO PARTICIPATE
The members of the Workshop Organizing Committee invite you to attend
the 1993 IEEE Workshop on Neural Networks for Signal Processing. The 1993
Workshop is the third workshop organized by the Neural Network
Technical Committee of the IEEE Signal Processing Society. The first took
place in 1991 in Princeton, NJ, USA, the second in 1992 in Helsingor,
Denmark. The purpose of the Workshop is to foster informal technical
interaction on topics related to the application of neural networks
to problems in signal processing.
WORKSHOP LOCATION
The 1993 Workshop will be held at the Maritime Institute of Technology
Graduate Studies (MITAGS), 5700 Hammonds Ferry Road, Linthicum Heights, MD,
21090, USA, telephone +1 410 859 5700. MITAGS is a training facility of the
International Organization of Masters, Mates & Pilots.
TRANSPORTATION TO MITAGS
MITAGS is located directly south of Baltimore, Maryland. For those arriving
by air at the Baltimore - Washington International Airport, MITAGS
is 5 miles away by taxi. For those arriving by private car, we provide
the following directions:
1. From NORTH VIA I-95: South through Fort McHenry Tunnel, stay on I-95
South to I-695 South (Glen Burnie). Proceed as in #2 below.
2. FROM BELTWAY(I-695) COMING FROM THE NORTH OR WEST:
Get off at Exit 8 (Hammonds Ferry-Nursery Road), turn left at end of exit,
straight through the traffic light, over the bridge to the sign saying
MASTERS, MATES & PILOTS. Follow the driveway (blue lines) to Day Visitor
Lots A, B or C, or to the Overnight Lot.
3. FROM BALTIMORE VIA BALTIMORE-WASHINGTON PARKWAY (I-295): Go
South to I-695 West (To Towson). Proceed as in #4 below.
4. FROM BELTWAY(I-695) COMING FROM THE EAST:
Get off at exit 8 (Nursery Road), stay to the right until you
face a sign saying Hammonds Ferry Road, turn right,
go to a traffic light, turn left on Hammonds Ferry road,
continue over the bridge, turn right at the sign saying MASTERS, MATES
& PILOTS and proceed to Day Visitor Parking Lots A through C, or
if you are staying overnight, to the Overnight Lot.
5. FROM SOUTH VIA BALTIMORE-WASHINGTON PARKWAY (I-295): Turn off at exit just
before Baltimore Beltway (I-695). This exit says West Nursery Road.
Stay to the right on the exit ramp. Go to first light (International Drive),
turn left to bottom of hill, left onto Aero Drive. At gate,
sign says MASTERS, MATES & PILOTS. Turn right and follow blue line
to parking lots.
6. FROM SOUTH VIA I-95: Go to Baltimore Beltway (I-695) South
towards Glen Burnie. Get off at Exit 8 as in #3 above.
WORKSHOP REGISTRATION INFORMATION
There is a Registration Form at the end of the Advanced Program.
The registration fee "without room" covers attendance at all workshop sessions,
one copy of the hard-bound proceedings, the Monday night reception,
the coffee breaks, and all meals during the three days of the Workshop,
including the banquet at the Baltimore Orioles' Baseball Stadium.
For those potential participants whose funds are not permitted to be
spent on a banquet, we point out that corporation co-sponsorship
is paying for the banquet.
The registration fee "with room" covers all of the above plus lodging
on the campus at MITAGS. Lodging at MITAGS is by far the most convenient,
and it is very reasonably priced. This is the registration that we recommend
for all participants coming from a distance.
For IEEE members before August 1, the registration fee is $375 without room
and $575 with room. After August 1, the registration fee is $425 without room
and $625 with room. Non-members, please add $50 to these fees.
Students may apply for a limited number of partial travel and
registration grants. See registration form below.
EVENING EVENTS
A Pre-Workshop Reception will be held at MITAGS on Monday evening,
September 6, 1993, at 8:00 PM. On Tuesday evening, a panel
on Dual-use Applications of Neural Network Technology
will be led by Workshop Co-Chair Barbara Yoon.
On Wednesday evening, busses will take participants to the banquet
at the new Baltimore Orioles' Baseball Stadium in downtown Baltimore.
Dinner will be served in the Orioles' 6th floor banquet facility.
Reservations have been made for 120 participants. Each reservation
includes a ticket to the party rooms reserved for the workshop
down on the Stadium Club level. After the banquet, participants
may either relax in the banquet facility, or move to the party rooms
and adjacent outside seating to enjoy the scheduled evening baseball
game with the Seattle Mariners. Busses will return everyone to MITAGS
at the end of the game.
At the close of the Workshop on Thursday afternoon, participants are invited
to stay for a demonstration of MITAG's $50 million computer-based simulator
of the bridge of a ship. This hydraulically-mounted simulator will be operated
in a cinerama representation of the harbor of the City of New York.
PROGRAM OVERVIEW
Time Tuesday 7/9/93 Wednesday 8/9/93 Thursday 9/9/93
_______________________________________________________________
8:15 AM Opening Remarks
8:30 AM Keynote Address Keynote Address Keynote Address
9:20 AM Image Processing Learning Theory
(Lecture) (Lecture) (Lecture)
10:50 AM Break Break Break
11:20 AM Theory Applications 1 Applications 2
(Poster preview) (Poster preview) (Poster preview)
12:20 PM Lunch Lunch Lunch
1:30 PM Theory Applications 1 Applications 2
(Poster) (Poster) (Poster)
2:45 PM Break Break Break
3.15 PM Classification Speech Processing Applications
(Lecture) (Lecture) (Lecture)
Evening Panel Banquet at Simulator
Discussion Orioles Stadium Demonstration
Note: Session Chairs listed in the following Technical Program
may change.
TECHNICAL PROGRAM
Tuesday, September 7, 1993
[8:15 AM: Opening Remarks:]
Gary Kuhn, Barbara Yoon, General Chairs
Rama Chellappa, Program Chair
[8:30 AM: Opening Keynote:]
Learning, function approximation, and images
Tomaso Poggio, Massachusetts Institute of Technology,
Massachusetts, USA.
[9:20 AM: Image Processing (Lecture Session)]
Chair: B.S. Manjunath, UCSB
A Nonlinear Scale-Space Filter by Physical Computation,
Yiu-Fai Wong, Lawrence Livermore National Lab, Livermore, CA, USA.
A Common Framework for Snakes and Kohonen Networks,
Arnaldo J. Abrantes and Jorge S. Marques, INESC, Lisboa, Portugal.
Detection of Ocean Wakes in Synthetic Aperture Radar Images
with Neural Networks, Gregg Wilensky, Narbik Manukian,
Joe Neuhaus and John Kirkwood, Logicon/RDA, Los Angeles, CA, USA.
Image Generation and Inversion Based on a Probabilistic Recurrent Neural Model,
N. Sonehara, K. Nakane, Y.Tokunaga,
NTT Human Interface Laboratories, Yokosuka, Kanagawa, Japan.
[10:50 AM: Coffee break]
[11:20 AM: Theory (Oral previews of the afternoon poster session)]
Chair: To be announced
Liapunov Functions for Additive Neural Networks and Nonlinear
Integral Equations of Hammerstein Type, Alexander Jourjine,
Wang Laboratories, Lowell, MA, USA.
A Hybrid Learning Method for Multilayer Neural Networks,
Xin Wang, Meide Zhao, Department of Radio Engineering,
Harbin Institute of Technology, Harbin, P.R. China.
LS-Based Training Algorithm for Neural Networks,
E.D. Di Claudio, R. Parisi and G. Orlandi, INFOCOM Department,
University of Roma ``La Sapienza", Roma - Italy.
MAP Estimation and the Multilayer Perceptron, Q. Yu and
M.T. Manry, Dept. of Electrical Engineering, University
of Texas at Arlington, Arlington, Texas and S.J. Apollo, General
Dynamics, Fort Worth, Texas, USA.
Self-Organizing Feature Map with Position Information and
Spatial Frequency Information, Toshio Nakagawa and Takayuki Ito,
NHK Science and Technical Research Laboratories, Setagaya-ku,
Tokyo, Japan.
Competitive Learning and Winning-Weighted Competition for
Optimal Vector Quantizer Design, Zhicheng Wang and John
V. Hanson, Department of Electrical and Computer Engineering,
University of Waterloo, Waterloo, Ontario, Canada.
Hierarchical Wavelet Neural Networks, Sathyanarayan S. Rao
and Ravikanth S. Pappu, Department of Electrical and Computer
Engineering, Villanova University, Villanova, PA, USA.
Nonlinear Multilayer Principal Component Type Subspace
Learning Algorithms, Jyrki Joutsensalo and Juha Karhunen,
Helsinki University of Technology, Laboratory of Computer and
Information Sciences, Espoo, Finland.
Designer Networks for Time Series Processing,
Claus Svarer, Lars Kai Hansen, Jan Larsen and Carl Edward
Rasmussen, Technical University of Denmark, Denmark, USA.
A Class of Hopfield Decodable Codes, Niclas Wiberg,
Dept. of Electrical Engineering, Linkoping University, Linkoping,
Sweden.
Modeling the Spectral Transition Selectivity in the
Primary Auditory Cortex, Kuansan Wang and Shihab A. Shamma,
Institute of Systems Research and Department of Electrical
Engineering,University of Maryland, College Park, MD, USA.
Signal to Noise Analysis of a Neural Network with
Nonmonotonic Dynamics, Ioan Opris, Dept. of Physics,
University of Bucharest, Bucharest-Magurele, Romania.
[12:20 PM: Lunch]
[1:30 PM: Theory (Poster Session)]
[2:45 PM: Break]
[3:15 PM: Classification (Lecture session)]
Chair: Candace Kamm, Bellcore
Ordered Vector Quantization for Neural Network Pattern Classification,
Lane Owsley and Les Atlas, University of Washington, Seattle, WA, USA.
Differentially Trained Neural Network Classifiers are Efficient,
J.B.Hampshire II and B.V.K. Vijaya Kumar, Carnegie
Mellon University, Pittsburg, PA, USA.
Extensions of Unsupervised BCM Projection Pursuit: Recurrent and
Differential Models for Time-Dependent Classification,
Charles M. Bachmann and Dong Luong, Naval
Research Laboratory, Washington, D.C., USA.
Fuzzy Decision Neural Networks and Signal Recognition
Applications, J.S.Taur and S.Y. Kung, Dept. of Electrical
Engineering, Princeton University, Princeton, USA.
Temporal Sequence Classification by Memory Neuron
Networks, Pinaki Poddar and P.V.S. Rao Tata Institute of
Fundamental Research, Bombay, India.
[8:00 PM: Panel Discussion]
Dual-use Applications of Neural Network Technology
Moderator: Barbara Yoon, ARPA.
Wednesday, September 8, 1993
[8:30 AM: Keynote Address:]
Pattern matching in a rapidly self-organizing neural network.
Christoph von der Malsburg, Institute for Neuroinformatics,
Ruhr-University, Bochum, Germany, and Dept. of Computer Science,
USC, Los Angeles, USA.
[9:20 AM: Learning (Lecture Session)]
Chair: Lee Giles, NEC
Neural Networks for Localized Approximation of Real
Functions, H.N. Mhaskar, Department of Mathematics, California
State University, Los Angeles, CA, USA.
Generalization and Maximum Likelihood from Small Data Sets,
Bill Byrne, Institute for Systems Research and Dept. of
Electrical Engineering, University of Maryland, College Park,
MD, USA.
Backpropagation Through Time with Fixed Memory Size Requirements,
Jose C. Principe and Jyh-Ming Kuo, Computational
NeuroEngineering Laboratory, University of Florida,
Gainesville, FL, USA.
Hierarchical Recurrent Networks for Learning Musical Structure,
D.J. Burr, Bellcore, Morristown, NJ, USA and
Y. Miyata, Chukyo University, Toyota, Japan.
[10:50 AM: Coffee break]
[11:20 AM: Applications 1 (Oral previews of afternoon poster session) ]
Chair: To be announced
VLSI Hamming Neural Net Showing Digital Decoding,
Felipe Gomez-Castaneda and Jose A. Moreno-Cadenas, Electrical
Engineering Department, Mexico City, D.F. Mexico.
Target Recognition Using Multiple Sensors, Y.T. Zhou and
R. Hecht-Nielsen, HNC, Inc. San Diego, CA, USA.
Recognition of Earthquakes and Explosions Using a Data
Compression Neural Network, Roy C. Hsu and Shelton S.
Alexander, The Pennsylvania State University, University
Park, PA, USA.
Characterization of Network Responses to Known, Unknown, and Ambiguous Inputs,
Benjamin Hellstrom and Jim Brinsley,
Westinghouse Electronic Corporation, Baltimore, MD, USA.
Neural Network-Based Helicopter Gearbox Health Monitoring
System, Peter T. Kazlas, Peter T. Monsen and Michael J.
LeBlanc, The Charles Stark Draper Laboratory, Cambridge, MA, USA.
A Hybrid Neural-Fuzzy Approach to VHF Frequency
Management, Nancy H. Millstrom, Allen R. Bonde, Jr., and
Michael J. Grimaldi, GTE Goverment Systems, Needham
Heights, MA, USA.
Analysis of Coarse Parallel Architectures for Artificial Neural Processing,
K.S. Gugel, J.C Principe and S. Venkumahanti,
Computational NeuroEngineering Lab,
University of Florida, Gainesville, Florida, USA.
Fast VLSI Implementations for MRF and ANN Applications,
Haralambos C. Karathanasis, INTRACOM S.A and Computer
Engineering Dept., University of Patras and John A. Vlontzos,
INTRACOM S.A, Peania Attika, Greece.
A Growing and Splitting Elastic Network for Vector
Quantization, Bernd Fritzke, International Computer
Science Institute, Berkeley, CA, USA.
Quantized, Piecewise Linear Filter Network,
John Aasted Sorensen, Electrical Institute,
Technical University of Denmark, Lyngby, Denmark.
Application of ordered codebooks to Image Coding,
S. Carrato, Giovanni, L. Sicuranza and L. Manzo, D.E.E.I.,
University of Trieste, 34127 Trieste, Italy.
[12:20 PM: Lunch]
[1:30 PM: Applications 1 (Poster Session)]
[2:45 PM: Break]
[3:15 PM: Speech Processing (Lecture session)]
Chair: Fred Juang, AT&T Bell Laboratories
A New Learning Algorithm for Minimizing Spotting Errors,
Takashi Komori and Shigeru Katagiri, ATR Auditory and Visual
Preception Research Laboratories, Kyoto, Japan.
A Neural network for Phoneme Recognition Based on
Multiresolution Ideas, Kamran Etemad, Institute for
System Research and Dept. of Electrical Engineering,
University of Maryland, College Park, MD, USA.
Text-Dependent Speaker Verification Using Recurrent Time
Delay Neural Networks for Feature Extraction, Xin Wang,
Department of Radio Engineering, Harbin Institute of
Technology, Harbin, P.R. China.
A New Learning Approach Based on Equidistortion Principle
for Optimal Vector Quantizer Design, Naonori Ueda, Ryohei
Nakano, NTT Communication Science Laboratories, Kyoto,
Japan.
A feedforward neural network for the wavelet decomposition
of discrete time signals, Sylvie Marcos,
Messaoud Benidir, Laboratoire des Signaux et Systems,
E.S.E, Gif-sur-Yvette, France.
[5:00 PM: Busses leave for Orioles' Stadium ]
[10:00 PM: Busses return from Orioles' Stadium ]
Thursday, September 9, 1993
[8:30 AM: Keynote Address:]
Evaluation of Neural Network Classifiers
Charles L. Wilson, National Institute of Standards and Technology,
Gaithersburg, MD, USA.
[9:20 AM: Theory (Lecture Session)]
Chair: To be announced
A Novel Recursive Network for Signal Processing,
Irina F. Gorodnitsky and Bhaskar D. Rao, Dept of Electrical and
Computer Engineering, University of California, San Diego, USA.
A Geometric View of Neural Networks Using Homotopy,
Frans M. Coetzee and Virginia L. Stonick, Electrical and Computer
Engineering Department, Carnegie Mellon University,
Pittsburgh, PA, USA.
Nonlinear Predictive Vector Quantisation with Recurrent
Neural Nets, Lizhong Wu, Mahesan Niranjan and Frank Fallside,
Engineering Dept., Cambridge University, Cambridge. UK.
Further Development of Hamiltonian Dynamics of Neural Networks,
Ulrich Ramacher, Siemens Corporation, Muenchen, Germany.
Invited Talk.
[10:50 AM: Coffee break]
[11:20 AM: Applications 2] (Oral previews of afternoon poster sessions)
Chair: David Burr, Bellcore
A Modified Recurrent Cascade-Correlation Network for Radar
Signal Pulse Detection, N. Karunanithi, Bellcore, Morristown,
NJ., D. Whitley, Dept. of Computer Science, Colorado State
University, Fort Collins, CO and D. Newman, Texas Instruments,
Colorado Springs, CO, USA.
A Technique for Adapting to Speech Rate, Mai Huong T.
Nguyen and Garrison W. Cottrell, Institute for Neural
Computation, University of California, San Diego, USA.
Neurofuzzy Control of a Wheelchair Robotic Hand,
Anya L. Tascillo and Victor A. Skormin, Binghamton University,
Binghamton, NY, USA.
Applying Neural Network Developments to Sign Language
Translation, Elizabeth J. Wilson, and Gretel
Anspach, Raytheon Company, Riverside, RI, USA.
Discriminative Feature Extraction for Speech Recognition,
Alain Biem, Shigeru Katagiri and Biing-Hwang Juang, ATR Auditory
and Visual Perception Research Laboratories, Kyoto, Japan.
Neural Network Image Analysis and Classification in Hybrid
Lung Nodule Detection (HLND) System, Y.S Peter Chiou, Y.M.
Fleming Lure, Caelum Research Corporation, Silver Spring,
MD,USA.
A Nonlinear Lattice Structure Based Higher Order Neuron,
Muzaffar U. Khurram and Hassan M. Ahmed, Nonlinear Modelling
Laboratory, Boston University, Boston, MA, USA.
Multisensor Image Classification by Structured Neural
Networks, F. Roli, S.B. Serpico and G.Vernazza, Dept. of
Biophisical and Electronic Eng., University of Genoa, Italy.
A Modular Neural Network Architecture for Pattern
Classification, H. Elsherif, M. Hambaba, Intelligent Systems
Laboratory, Stevens Institute of Technology, Hoboken, NJ, USA.
Compressing Moving Pictures Using the APEX Neural Principal
Component Extractor, K.I. Diamantaras, Siemens Corp. Research,
S.Y. Kung, Dept. Electrical Eng., Princeton, NJ, USA.
Printed Circuit Boards Inspection Using two New Algorithms
of Dilatation and Connectivity Preserving Shrinking, Jelloul
El Mesbahi, Hassan II University Casablanca and Mohamed Chaibi,
Rabat Instituts, Rabat Morocco.
Using Self-Organized and Supervised Learning Neural
Networks in Parallel for Automatic Target Recognition,
Magnus Snorrason, Alper K. Caglayan, Charles River Analytics
Inc. Cambridge, MA and Bruce T. Buller, Department of Air force,
FL, USA.
A Neural Net Application to Signal Identification, Ronald
Sverdlove, David Sarnoff Research Center, Princeton, NJ, USA.
[12:20 PM: Lunch]
[1:30 PM: Applications 2 (Poster Session)]
[2:45 PM: Break]
[3:15 PM: Applications (Lecture session)]
Chair: Bastiaan Kleijn, AT&T Bell Laboratories
A Neural Network Model for Adaptive, Non-Uniform A/D
Conversion, Marc M.Van Hulle, Massachusetts Institute of
Technology, Cambridge, MA, USA.
Recurrent Radial Basis Function Networks for
Optimal Blind Equalization, Jesus Cid-Sueiro and Anibal R.
Figueiras-Vidal, ETSI Telecomunication-UV, Valladolid, Spain.
Neural Networks for the Classification of Biomagnetic
Maps, Martin F. Schlang, Ralph Neuneier, Siemens AG,
Corporate Research and Development, Munchen, Klaus Abraham-
Fuchs and Johann Uebler, Siemens AG, Medical Eng., Group,
Erlangen, Germany.
Hidden Markov Models and Neural Networks for Fault
Detection in Dynamic System, Padhraic
Smyth, Jet Propulsion Laboratory, California Institute of
Technology, Pasadena, CA, USA.
[4:30 PM: MITAGS Simulator demonstration]
WORKSHOP COMMITTEE
GENERAL CHAIRS
Gary Kuhn Barbara Yoon
Siemens Corporate Research ARPA-MTO
Princeton, NJ 08540 Arlington, VA, 22209, USA
email: gmk at learning.siemens.come e-mail: byoon at arpa.mil
PROGRAM CHAIR
Rama Chellappa
Dept. of Electrical Engineering
University of Maryland
College Park, MD 20742, USA.
email: chella at surya.eng.umd.edu
PROCEEDINGS CHAIR
Candace Kamm
Bellcore, 445 South Street
Morristown, NJ 07960, USA
email:
cak at thumper.bellcore.com
FINANCE CHAIR
Raymond Watrous
Siemens Corporate Research
Princeton, NJ 08540, USA
email: watrous at learning.siemens.com
PROGRAM COMMITTEE
Joshua Alspector Yann Le Cun
Les Atlas Richard Lippman
Charles Bachmann John Makhoul
David Burr Christoph von der Malsburg
Rama Chellappa Richard Mammone
Gerard Chollet B.S. Manjunath
Frank Fallside Dragan Obradovic
Emile Fiesler Tomaso Poggio
Lee Giles Jose Principe
Steve Hanson Ulrich Ramacher
Yu Hen Hu Noboru Sonehara
Jenq-Neng Hwang Eduardo Sontag
B.H. Juang John Sorenson
Candace Kamm Yoh'ichi Tohkura
Juha Karhunen Kari Torkkola
Shigeru Katagiri John Vlontzos
Sun-Yan Kung Raymond Watrous
Gary Kuhn Christian Wellekens
REGISTRATION FORM:
1993 IEEE Workshop on Neural Networks for Signal Processing.
September 6 - September 9, 1993.
Please complete this form (type or print clearly) and mail with payment
for fee to NNSP'93, c/o R.L. Watrous, Siemens Corporate Research,
755 College Road East, Princeton, NJ 08540, USA.
Name __________________________________________________________________
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Firm or University ____________________________________________________
Mailing address _______________________________________________________
_______________________________________________________________________
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Country Phone Fax
Fee payment must be made by money order/check/bank draft drawn on a U.S. bank
or U.S. branch of a foreign bank. Do not send cash. Make fee payable
to IEEE NNSP'93.
Registration fee with single room and meals
Date IEEE member Non-member
____________________________________________
Before August 1 U.S. $575 U.S. $625
After August 1 U.S. $625 U.S. $675
Registration fee without room but still with meals
Date IEEE member Non-member
____________________________________________
Before August 1 U.S. $375 U.S. $425
After August 1 U.S. $425 U.S. $475
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