TY - BOOK
T1 - Proceedings of the IEEE 2003 Neural Networks for Signal Processing Workshop
AU - Larsen, Jan
A2 - Molina, Christophe
A2 - Adali, Tülay
A2 - Hulle, Marc Van
A2 - Douglas, Scott C.
A2 - Rouat, Jean
PY - 2003
Y1 - 2003
N2 - This proceeding contains refereed papers presented at the thirteenth IEEE
Workshop on Neural Networks for Signal Processing (NNSP’2003), held at
the Atria-Mercure Conference Center, Toulouse, France, September 17-19,
2003. The Neural Networks for Signal Processing Technical Committee of
the IEEE Signal Processing Society organized the workshop with sponsorship of the Signal Processing Society and the co-operation of the
IEEE Neural Networks Society. The IEEE Press published the previous
twelve volumes of the NNSP Workshop proceedings in a hardbound volume.
This year, the bound volume is to be published by IEEE following the
workshop, and we are pleased to inaugurate a new CDROM electronic
format, which maintains the same standard as the printed version and
facilitates the reading and searching of the papers.
In recent years, the field of neural networks has matured considerably in both
methodology and real-world application domains and is widely entering into
everyday solutions adopted by research and industry, going far beyond
“traditional” neural networks and academic examples. As reflected in this
collection, contemporary neural networks for signal processing combine
many ideas from adaptive signal/image processing, machine learning, and
statistics in order to solve complex real-world signal processing applications.
This year, two topics attracting particular interest were presented at two
special sessions; one on bioinformatics and a second one on space and
aeronautics. High quality across such topical diversity can only be
maintained through a rigorous and selective review process. This year, 149
full papers (10 pages) were submitted, out of which 88 (resulting in an
acceptance rate of 59%) were selected for oral or poster presentation, after
reviews by three referees for each. Following the cancellation of the
ICASSP’03 IEEE conference, we have also accepted and included in the CDROM
copy of the proceedings 17 papers for presentation from
ICASSP’2003. We would like to thank the NNSP’2003 Technical
Committee for taking the time to provide quality reviews. Special thanks also
go to Dr. Bernard Michot of the Organizing Committee for his commitment,
and the members of the PROGEP association, Florence Foucaud, Marlène
Pauly and Vincent Gerbaud, for the handling of the workshop budget and
registration.
This year, the workshop featured research work in the areas of nonlinear
signal processing, system identification, blind source separation, theory of
neural networks, applications in image and video processing, speech
processing, as well as implementation and other applications of neural
networks. In addition to regular and special sessions, the NNSP’2003
Workshop was fortunate to have the participation of three companies - IBM
Life Science, Research Systems Inc., and Spotfire - with stands presenting
their products related to signal processing and neural networks. We are also
grateful to the Toulouse City Council and to Sanofi-Synthelabo for their
generous financial support. We would like to express our appreciation and
gratitude to all these contributors. Our warmest, special thanks go to our
organizers for the special sessions and plenary speakers: Dr. Edgardo Ferran
of Sanofi-Synthelabo Recherche Labège (France), Professor Gérard Dreyfus
of L’ESPCI, Paris (France), Professor Rita Casadio of University of Bologna
(Italy), Professor Manuel Samuelides of Ecole Nationale Supérieure de
l'Aéronautique et de l'Espace, Toulouse (France), and Professor Mahesan
Niranjan of Sheffield University (UK).
Continuing the tradition of paperless and easy communication, many of the
details of the NNSP’2003 Workshop were handled electronically through the
workshop webpage (http://isp.imm.dtu.dk/nnsp2003), which, among other
features, included web-based submissions, review, and registration.
Christophe Molina, Sanofi-Synthelabo Recherche, France
Tülay Adali, University of Maryland, Baltimore County, USA
Jan Larsen, Technical University of Denmark
Marc Van Hulle, Katholieke Universiteit Leuven, Belgium
Scott Douglas, Southern Methodist University, USA
Jean Rouat, Université de Sherbrooke, Canada.
AB - This proceeding contains refereed papers presented at the thirteenth IEEE
Workshop on Neural Networks for Signal Processing (NNSP’2003), held at
the Atria-Mercure Conference Center, Toulouse, France, September 17-19,
2003. The Neural Networks for Signal Processing Technical Committee of
the IEEE Signal Processing Society organized the workshop with sponsorship of the Signal Processing Society and the co-operation of the
IEEE Neural Networks Society. The IEEE Press published the previous
twelve volumes of the NNSP Workshop proceedings in a hardbound volume.
This year, the bound volume is to be published by IEEE following the
workshop, and we are pleased to inaugurate a new CDROM electronic
format, which maintains the same standard as the printed version and
facilitates the reading and searching of the papers.
In recent years, the field of neural networks has matured considerably in both
methodology and real-world application domains and is widely entering into
everyday solutions adopted by research and industry, going far beyond
“traditional” neural networks and academic examples. As reflected in this
collection, contemporary neural networks for signal processing combine
many ideas from adaptive signal/image processing, machine learning, and
statistics in order to solve complex real-world signal processing applications.
This year, two topics attracting particular interest were presented at two
special sessions; one on bioinformatics and a second one on space and
aeronautics. High quality across such topical diversity can only be
maintained through a rigorous and selective review process. This year, 149
full papers (10 pages) were submitted, out of which 88 (resulting in an
acceptance rate of 59%) were selected for oral or poster presentation, after
reviews by three referees for each. Following the cancellation of the
ICASSP’03 IEEE conference, we have also accepted and included in the CDROM
copy of the proceedings 17 papers for presentation from
ICASSP’2003. We would like to thank the NNSP’2003 Technical
Committee for taking the time to provide quality reviews. Special thanks also
go to Dr. Bernard Michot of the Organizing Committee for his commitment,
and the members of the PROGEP association, Florence Foucaud, Marlène
Pauly and Vincent Gerbaud, for the handling of the workshop budget and
registration.
This year, the workshop featured research work in the areas of nonlinear
signal processing, system identification, blind source separation, theory of
neural networks, applications in image and video processing, speech
processing, as well as implementation and other applications of neural
networks. In addition to regular and special sessions, the NNSP’2003
Workshop was fortunate to have the participation of three companies - IBM
Life Science, Research Systems Inc., and Spotfire - with stands presenting
their products related to signal processing and neural networks. We are also
grateful to the Toulouse City Council and to Sanofi-Synthelabo for their
generous financial support. We would like to express our appreciation and
gratitude to all these contributors. Our warmest, special thanks go to our
organizers for the special sessions and plenary speakers: Dr. Edgardo Ferran
of Sanofi-Synthelabo Recherche Labège (France), Professor Gérard Dreyfus
of L’ESPCI, Paris (France), Professor Rita Casadio of University of Bologna
(Italy), Professor Manuel Samuelides of Ecole Nationale Supérieure de
l'Aéronautique et de l'Espace, Toulouse (France), and Professor Mahesan
Niranjan of Sheffield University (UK).
Continuing the tradition of paperless and easy communication, many of the
details of the NNSP’2003 Workshop were handled electronically through the
workshop webpage (http://isp.imm.dtu.dk/nnsp2003), which, among other
features, included web-based submissions, review, and registration.
Christophe Molina, Sanofi-Synthelabo Recherche, France
Tülay Adali, University of Maryland, Baltimore County, USA
Jan Larsen, Technical University of Denmark
Marc Van Hulle, Katholieke Universiteit Leuven, Belgium
Scott Douglas, Southern Methodist University, USA
Jean Rouat, Université de Sherbrooke, Canada.
KW - machine learning
KW - bioinformatics
KW - neural networks
KW - signal processing
M3 - Book
BT - Proceedings of the IEEE 2003 Neural Networks for Signal Processing Workshop
PB - IEEE Press
ER -