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 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@learning.siemens.come e-mail: byoon@arpa.mil PROGRAM CHAIR Rama Chellappa Dept. of Electrical Engineering University of Maryland College Park, MD 20742, USA. email: chella@surya.eng.umd.edu PROCEEDINGS CHAIR Candace Kamm Bellcore, 445 South Street Morristown, NJ 07960, USA email: cak@thumper.bellcore.com FINANCE CHAIR Raymond Watrous Siemens Corporate Research Princeton, NJ 08540, USA email: watrous@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