From: marshall@cs.unc.edu (Jonathan Marshall)
Newsgroups: comp.ai.neural-nets,sci.physics,sci.image.processing,image,triangle.talks
Subject: Triangle NN talks: Szu
Followup-To: comp.ai.neural-nets
Date: 5 Jan 1993 17:03:21 -0500
Organization: The University of North Carolina at Chapel Hill
Distribution: usa
Expires: 21 Jan 93
NNTP-Posting-Host: marshall.cs.unc.edu

From: <sutton@eos.ncsu.edu>

=============  TRIANGLE AREA NEURAL NETWORK SOCIETY presents:  =============

The Triangle Area Neural Network Society proudly presents Dr. Harold Szu,
President of the International Neural Network Society, for two lectures on
January 20, 1993.

The first lecture will be at NCSU (and will be broadcast over the MCNC
Network to requesting sites) at 10:15.  The second will be at the Research
Triangle Institute at 5:15, and refreshments will be available at 5 pm.
These lectures are appropriate for all those with a neural network interest.

============================================================================

The first lecture:

Topic:         REVIEW OF NEUROCOMPUTING, THE PAST AND THE FUTURE
Speaker:       Dr. HAROLD SZU
Date/Time:     January 20 1993, 10:15 to 11:05 AM
Location:      Studio 2, Park Shops, North Carolina State University

Abstract:
  "Classical neural networks (NN) will be characterized with Hebbian-like
learning algebra (small perturbation) and various architectures (fixed
layers).  The limited ability of fault tolerance, associative memory
capacity, and the tradeoff between abstract/generalization and network
complexity has now become obvious rooted in the small perturbation learning
approach to a fixed architecture and the input impedance mismatch of sensor
data format with the brain-style computing.
  "Then, the computational property of Biological NN (BNN) is observed in
vitro by an electronic chip substrate system that consists of time-lapsed
Video imaging (to be shown during the presentation) through a microscope
(and some neurochemical control of synaptic growth, namely the phosphopro-
teins: Synapsin IIb discovered by Han & Greengard, Nature 1991 could be
added).  The purpose of this on-going study is threefold:
  (1) Near Term: to measure in parallel with modern instrumentations the
      sigmoidal function proposed by McCullouch-Pitts five decades ago for a
      single neuron firing rate transfer function.
  (2) Middle Term: to characterize the neurite formation pair correlation
      function proposed recently.
  (3) Long Term: to determine in vitro the link between the specific BNN
      architectural topology to the functional efficiency in information
      processing.  The minimum intelligent network is discovered to be
      three hairy neurons of chick embryo neurons, called Peter, Paul, Mary
      revealing in a dynamic reconfiguration in network architecture.
  "It should not be expected form our effort to unveil human intelligence,
but only to capture and endow artificial neural networks (ANN) with somewhat
intelligent capability for a devoted and efficient processing system."

============================================================================

The second lecture:

Topic:     ADAPTIVE WAVELET TRANSFORM
Speaker:   Dr. HAROLD SZU
Date/Time: January 20, 1993, 5:15 to 6:15 PM
Location:  Dreyfus Auditorium, Research Triangle Institute

Abstract:
  "During the last decade, 1980's, French geologists & scientists, Morlet,
Meyer, Grossmann, et. al., have developed the Wavelet Transform (WT) of a
constant resolution resonator Q = df/f, in order to overcome the high
frequency noisy seismic signal reconstruction instability that a fixed
windowed Gabor Transform based on the uncertainty principle seems to
produce.  WT was demonstrated ideally for Wideband Transient (WT) signal
syntheses, such as the sound, seismic wave image reconstruction for oil
exploration.  The major contribution of WT is the mathematics methodology to
construct in the Hilbert space a complete and orthonormal (CON) set of
daughter wavelets based on an affine transform of a good mother h(t) that is
a band-pass function (no d.c. component) and has a finite energy (square-
integrable).  The affine transform can produce a so-called snug frame
(almost CON coined by Daubechies) for a good enough mother to spawn a set of
daughter wavelets hab(t) = h(t') by replacing t by t' = t P b/a, where b is
the discrete or continuous shift in time and a is the scale parameter
proportional to the Fourier frequency f expressed usually in a discrete
logarithmic 2-base: 1/f = a = 2N, with N = 0, 11, 12, etc.
  "One of the recent advancements in WT is in the joint areas of neural
networks and WT: `Neural Network Adaptive Wavelets for Signal Representation
and Classification [Szu, et. al. Opt. Eng. 31, 1907Q1916, Sep.'92],' which
is inspired by the sensitive human ear detection of one's own name or other
interesting sound with P3dB during a noisy drinking party (Cocktail Party
Effect).  Another less obvious advancement in WT is perhaps in the shift of
paradigm in solving a nonlinear dynamics problem `Why the soliton wavelet
transform is useful for nonlinear dynamic phenomena,' Szu, H., SPIE 1705,
280Q288, 1992.  While linear FT defers the nonlinearity to later mode-mode
coupling, WT gives us the freedom to pay the nonlinear price early by
choosing a particular nonlinear solution, say soliton, as a mother wavelet
and then enjoy the linear superposition principle of WT."

============================================================================

Dr. Szu is currently the Information Science Group Leader at Naval Surface
Warfare Center, Code R44, White Oak, MD 20903.  He is President of the
International Neural Network Society and Adjunct Professor at George
Washington University and American University.

============================================================================

DIRECTIONS to Dreyfus Auditorium from Raleigh, Durham, or Chapel Hill: Take
the Davis Drive Exit on I40.  Turn right onto Davis Drive.  At Cornwallis
Road, which is the first intersection, go left.  Take the first road on the
left off Corwallis, which is Institute Drive.  The second turn-off on the
right leads directly to Dreyfus Auditorium.

============================================================================