Workshop Ann.: Neural Nets for Signal Proc. (Aug31-Sep2 '98)
Bert De Vries
adevries at sarnoff.com
Tue Jun 30 11:09:31 EDT 1998
We still have some openings for interested researchers to attend the
1998 IEEE Workshop on Neural Networks for Signal Processing, which this
year will be held in beautiful Cambridge, UK, on August 31st to
September 2nd 1998. We have a very interesting program, including many
papers on blind signal processing, biomedical processing, speech, time
series prediction etc. This note includes the preliminary program,
registration information and a registration form. More information can
be found at our website:-
http://www.newton.cam.ac.uk/programs/nspw03.html
http://www.newton.cam.ac.uk/programs/nsp.html
Hope to see you in Cambridge!
--Bert de Vries, Publicity chair NNSP98
===================================================================
IEEE Workshop on Neural Networks for Signal Processing
NNSP 98 PRELIMINARY PROGRAMME
Monday, 31 August 1998
9:00 Opening Remarks
9:15 Invited Talk Jose Principe,
University of Florida
10:00 Oral Session I : Source Separation, Deconvolution & ICA
101 KuicNet Algorithms for Blind Deconvolution
S. C. Douglas and S-Y. Kung
104 On the Stability of some Source Separation Algorithms
J-F. Cardoso
110 Convolutive Blind Source Separation based on
Multiple Decorrelation"
L. Parra, C. Spence & B de Vries
10:45 Coffee Break
11:15 Oral Session I (Continued)
114 Independent Component Analysis: A flexible non-linearity and
decorrelating manifold approach
R. Everson & S.J. Roberts
115 Bayesian Blind Marginal Separation of Convolutely Mixed
Discrete Sources
C. Andrieu, A. Doucet, S. Godsill
116 Independent Component Analysis in Hybrid Mixture: Extrema
Properties for Kurtosis and Higher Order
Cumulant Function
S-Y. Kung
12:00 Poster Previews I
_________
13:00 Lunch
_________
14:30 Oral Session II : Algorithms and Architectures
201 A General Probabilistic Formulation for Feedforward Neural
Classifiers
T. Adali, M. K. Sonmez & H. Ni
205 Learning from Examples with Mutual Information
D. Xu & J C Principe
207 Experimental Evaluation of Latent Variable Models for
Dimentionality Reduction
M.A.Carrierra-Perpinian & S.J. Renals
208 From an A priori RNN to an A Posteriori PRNN Nonlinear Predictor
D.P.Mandic & J Chambers
------------
15:30 Coffee Break
------------
16:00 Poster Session I (ICA, A&A)
103 Removing Electroencephalographic Artifacts: Comparison
between ICA and PCA
T-P Jung, C. Humphries, T-W Lee, M.J.McKeown, V. Iragui,
S. Makeig & T. Sejnowski
105 A New Variable Step Algorithm for Blind Source Separation
P.M. On & Y Hirai
107 Flexible Independent Component Analysis
S. Choi, A. Cichocki & S. Amari
108 Blind Equalisation of Multichannels via Spatio-temporal
Anti-Hebbian Learning Rule
S. Choi, A. Cichocki & A. Amari
109 Asymmetric PCA Neural Networks for Adaptive Blind
Source Separation
K. I Diamantaras
111 The Effect of Signal Non-Stationarity on the Performanc of
Information Maximisation Based Blind Separation
M.J.T.Alphey, D.I. Laurensen & A.F. Murray
112 Blind Deconvolution / Equalization using State-Space Models
L-Q Zhang & A. Cichocki
113 Two EM Algorithms for Blind Separation of Noisy Mixtures
H. Attias
304 Online EM Algorithm and Reconstruction of Chaotic Dynamics
S. Ishii & M. Sato
Tuesday, 1 September 1998
9:00 Invited Talk Steve Young
Cambridge University
10:00 Oral Session III Algorithms and Architectures
212 Adaptive Metric Kernel Regression
C. Goutte and J. Larsen
215 Bayesian Filtering for Hidden Markov Models via
Monte Carlo Methods
A. Doucet, C. Andrieu, W.J. Fitzgerald
216 Clustering with Kernel Based Equiprobabilistic Topographic Maps
M. van Hulle
10:45 Coffee Break
11:15 Oral Session III (Continued)
219 An Empirical Comparison of Arc-Cosine Distance, Generalised
Fisher
Ratio and Normalised Entropy Criteria for Model Selection
S. Zheng & C. G. Molina
305 Stochastic Approximation by Neural Networks using the
Radon and Wavelet Transforms
R, Meir & V. Maiorov
701 Stochastic Unobserved Component Models for Adaptive Signal
Extraction and Forecasting'
P. Young
12:00 Poster Previews
___________
13:00 Lunch
___________
14:00 Poster Session II (A & A)
202 A Likelihood Framework for Nonlinear Signal Processing
with Normal Mixtures
B. Wang, T. Adali, X. Liu & J. Xuan
203 Nonlinear State Space Learning with EM and Neural Networks
J. De Freitas, M. Niranjan & A.H. Gee
204 Volterra Signal Modelling using Lagrange Programming Neural
Networks
S. Chan, T. Stathaki & A. Constantinides
209 Split and Merge EM Algorithm for Improving Gaussian Mixture
Density Estimates
N. Ueda, R. Nakano, Z. Ghahramani & G.E. Hinton
210 Neural Network Regression with Input Uncertainty
W. A. Wright
211 Speeding up MLP Execution by Approximating Neural Network
Activation Functions
Rosella Cancelliere
213 A Model for Non-Stationary Signal Processing with Clustering
Methods
S. Policker & A.B.Geva
214 A Reduced Size Lattice Ladder Neural Network
D. Navakauskas
217 Designing the Optimal Structure of a Neural Filter
K. Suzuki, I. Horiba, N. Sugie
218 From Data to Nonlinear Dynamics: A Hierarchical Bayes Approach
to
Neural Networks
T. Matsumoto, Y. Nakajima, H. Hamagishi, J. Sugi & M. Saito
220 Recursive Nonlinear System Identification with Modular Networks
V. Kadirkamanathan and S.G. Fabri
222 A heuristic Pattern Correction Scheme for GRNNs and its
Application
to Speech Recognition
T. Hoya and A.G. Constantinides
306 Kohonen Networks and the Influence of Training on Data
Structures
I. Morlini
_______________________
15:30 Guided Tour of Colleges
Punting in River Cam
Conference Dinner
_______________________
Wednesday, 2 September 1998
9:00 Invited Talk Josef Kittler
Surrey University
10:00 Oral Session IV: Applications
506 Sound Monitoring based on the Generalised Probabilistic
Descent Method
H. Watanabe, Y. Matsumoto, S. Tanaka & S. Katagiri
511 Combining Neural Networks and Belief Networks for Image
Segemtnation
C. K. I. Williams and X. Feng
512 Analysing Time Series Structure with Hidden Markov Models
M. Azzouzi & I.T. Nabney
10:45 Coffee Break
11:15 Oral Session IV (Continued)
515 Morphing Dynamical Sound Models
A. Robel
603 Time Series Forecasting with Neural Networks
Chris Chatfield
613 PCA/ICA Embeddings for Extracting Structure from Single
Channel Wake EEG using Neural Networks
D. Lowe
12:00 Poster Previews
_____________
13:00 Lunch
_____________
14:00 Invited Talk TBA
15:00 Oral Session V: Applications
611 Boundary Conditions of Pharyngeal Bolus Modeling by Neural
Network Inversion
E. Lin, J-N Hwang & MW Chang
602 Communication Channel Equalisation using Minimal Radial Basis
Function Neural Networks
P. Chandrakumar, P Saratchandran & N Sundararajan
614 Adaptive Medical Image Visualisation Based on Hierarchical
Neural
Networks and Intelligent Decision Fusion
S-H. Lai & M Fang
605 Combining Histograms and Neural Networks in Static and Dynamical
Systems Approach to Engine Condition Monitoring
V. Kadirkamanathan and V.C. Patel
604 A Neural Network Extension of the Method of Analogues for
Iterated Time Series Prediction
N. Hazarika & D. Lowe
16:15 Poster Session (Applications) and Tea Break
501 Unconstrained Freehand-written Chinese Characters Recognition
by Self-growing Probabilistic Decision-based Neural Networks
H-C Fu, Y.Y.Xu & Y.P.Lee
502 Adaptive FIR filter use for signal Noise Cancelling
M. Kolinova, A. Prochazka & M Mudrova
504 Face Classification using Principal Component Analysis
and Multiresolution
V. Brennan & J.C. Principe
505 A Comparison of a Hardware and a Software Integrate and Fire
Neural Network for Clustering Onsets in Cohlear Filtered Sound
L.S. Smith, M. Glover & A. Hamilton
507 Feature Extraction Techniques for Hindi Numerals
H. Sanossian
508 Online Adaptive Histogram Equalisation
D. Martinez
509 Weightless Neural Networks for Face Recognition: A Comparison
S. Lauria & R.J. Mitchell
510 Exploiting the Statistical Characteristic of the Speech Signals
for an Improved Neural Learning in a MLP Neural Network
H. Altun and K.M. Curtis
513 Postprocessing for Image Coding Applications using
Neural Network Visual Model
Z. He, S. Chen, B. Luk & R. Istepanian
606 Structured Neural Network Approach for Measuring Raindrop
Sizes and Velocities
B. Denby, P. Gole & J. Tarniewicz
608 A Neural Network Architecture for the Classification of
Remote Sensing Imagery with Advanced Learning Algorithms
M.L. Goncalves, M. L. Netto, J.Z. Junior
612 A Framework for Combining Stochastic and Deterministic
Descriptions
of Nonstationary Financial Time Series
R. H. Lesch & D. Lowe
18:15 Closing Remarks
_____________
18:30 End of Workshop
_____________
=======================================================================
IEEE Neural Networks for Signal Processing Workshop (NNSP 98)
Registration Information
General:
We have two types of delegates: Residential at Robinson College and
Non residential. 120 Rooms have been booked at Robinson College for
the purpose of the workshop, and it is expected that the majority of
us will be residential there. The expected arrival is Sunday, 31 August
and Departure is Thursday 3 rd September [i.e four nights].
It should be possible to accommodate those who might wish to arrive
earlier / stay longer in Cambridge.
The charges include accommodation, all meals between Sunday supper
to breakfast on Thursday, and the Conference Dinner on Tuesday evening.
Non-residential delegates are responsible for their own accommodation.
Their registration includes Lunches on Monday, Tuesday & Wednesday
and the Social Dinner on Tuesday.
Registration Fees:
____________________________
EARLY REGISTRATION
Early registration is encouraged, the cut off for this will be
10 July 1998.
____________________________
RESIDENTIAL AT ROBINSON
The cost of accommodation will be UKP 93.00 per night
Registration for the workshop:
Member IEEE, Early registration: UKP 140.00
Nonmember IEEE, Early : UKP 170.00
Member IEEE Late Registration : UKP 170.00
Nonmember IEEE, Late : UKP 200.00
Student, Early : UKP 100.00
Student, Late : UKP 130.00
____________________________
NON-RESIDENTIAL AT ROBINSON
You are responsible for your own accommodation
Registration for the workshop:
Member IEEE, Early registration: UKP 225.00
Nonmember IEEE, Early : UKP 260.00
Member IEEE Late Registration : UKP 270.00
Nonmember IEEE, Late : UKP 290.00
Student, Early : UKP 160.00
Student, Late : UKP 200.00
____________________________
ACCOMPANYING PERSON
We have currently reserved 10 rooms that can accommodate an accompanying
partner at an additional cost of
UKP 35.70 per night [Bed and Breakfast]
____________________________
METHOD OF PAYMENT:
Payment may be made by Bank Draft or International Money Order, payable
to
Robinson College Enterprise Ltd.
Please make sure that we do not incur banking charges at this end.
It is also possible to pay by credit card, but only VISA, MasterCard
or JCB are acceptable.
Please fill the form below and mail to
Elizbeth Perrett
Conference Office
Robinson College
Grange Road
Cambridge CB3 9AN
England
Phone: 44 1223 332859
FaX : 44 1223 315094
Email: conference at robinson.cam.ac.uk
Registration Form:
------------------------ Cut Here ------------------------------------
IEEE Neural Networks for Signal Processing Workshop (NNSP 98)
REGISTRATION FORM
Title: Neural Networks for Signal Processing, NNSP 98
Taking place at: Robinson College & Newton Institute, Cambridge, UK
Date: August 31 - September 2, 1998
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Early Registration, NonMember IEEE
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