Machine Learning for Signal Processing 2004 in Brazil: CFP

[Machine Learning for Signal Processing 2004]

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2004 IEEE International Workshop on Machine Learning for Signal Processing
(Formerly the IEEE Workshop on Neural Networks for Signal Processing)
September 29 - October 1st, 2004
Sao Luis, Brazil
                                        Paper Submission by April 15 2004
-------------------------------------------http://isp.imm.dtu.dk/mlsp2004/



The fourteenth in a series of IEEE MLSP, sponsored by the IEEE Signal
Processing society will be held in Sao Luis, Brazil.
(http://www.turismo.ma.gov.br/en/)

This is a continuation of a series of workshops named Neural Networks
for Signal Processing (NNSP). The technical committee decided to
change the name to better reflect the community scope, and the rapid
changes in the field.

We are proud to inform you that the following speakers have confirmed to
give a talk:
        Erkki Oja: "Beyond independent component analysis"
        Petar Djuric: "Particle Filtering"
        SY Kung: "Data Mining for Microarray Bioinformatic Processing"
More detailed abstracts of these talks are soon available
at http://isp.imm.dtu.dk/mlsp2004/

Papers are solicited for, but not limited to, the following areas:

Algorithms and Architectures: Artificial neural networks, kernel
methods, committee models, Gaussian processes, independent component
analysis, advanced (adaptive, nonlinear) signal processing, (hidden)
Markov models, Bayesian modeling, parameter estimation,
generalization, optimization, design algorithms.

Applications: Speech processing, image processing (computer vision,
OCR), multimodal interactions, multi-channel processing, intelligent
multimedia and web processing, robotics, sonar and radar, bio-medical
engineering, financial analysis, time series prediction, blind source
separation, data fusion, datamining, adaptive filtering,
communications, sensors, system identification, and other signal
processing and pattern recognition applications.

Implementations: Parallel and distributed implementation, hardware
design, and other general implementation technologies.


-------------------------MLSP'2004 webpage:
http://isp.imm.dtu.dk/mlsp2004
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