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Call for papers
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2006 IEEE International Workshop on Machine Learning for Signal Processing
(Formerly the IEEE Workshop on Neural Networks for Signal Processing)

September 6 - 8, 2006, Maynooth, Ireland

Deadlines:
Paper Submission March 31, 2006
Data analysis competition March 31, 2006 (Revised)

------------------------------------------- http://mlsp2006.conwiz.dk/ ---


The sixteenth in a series of IEEE workshops on Machine Learning for Signal
Processing (MLSP) will be held in Maynooth, Ireland, September 6-8, 2006.
Maynooth is located 15 miles west of Dublin in Co. Kildare, Ireland?s
equestrian and golfing heartland (and home to the 2006 Ryder Cup). It is a
pleasant 18th century planned town, best known for its seminary, St.
Patrick's College, where Catholic Priests have been trained since 1795.
(http://www.countykildare.com) 

The workshop, formally known as Neural Networks for Signal Processing
(NNSP), is sponsored by the IEEE Signal Processing society (SPS) and
organized by the MLSP technical committee of the IEEE SPS. The name of the
NNSP technical committee, and hence the workshop, was changed to Machine
Learning for Signal Processing in September 2003 to better reflect the
areas represented by the technical committee. 

The workshop will feature keynote addresses, technical presentations,
special sessions and tutorials, all of which will be included in the
registration. Papers are solicited for, but not limited to, the following
areas: 

Learning Theory and Modeling; Bayesian Learning and Modeling; Sequential
Learning; Sequential Decision Methods; Information-theoretic Learning; 
Neural Network Learning; Graphical and Kernel Models; Bounds on
performance; Blind Signal Separation and Independent Component Analysis; 
Signal Detection; Pattern Recognition and Classification, Bioinformatics
Applications; Biomedical Applications and Neural Engineering;  Intelligent
Multimedia and Web Processing; Communications Applications;  Speech and
Audio Processing Applications; Image and Video Processing Applications. 

A data analysis and signal processing competition is being organized in
conjunction with the workshop. This competition is envisioned to become an
annual event where problems relevant to the mission and interests of the
MLSP community will be presented with the goal of advancing the current
state-of-the-art in both theoretical and practical aspects. The problems
are selected to reflect the current trends to evaluate existing approaches
on common benchmarks as well as areas where crucial developments are
thought to be necessary. Details of the competition can be found on the
workshop website. 

Selected papers from MLSP 2006 will be considered for a special issue of
Neurocomputing to appear in 2007. The winners of the data analysis and
signal processing competition will also be invited to contribute to the
special issue. 

MLSP'2006 webpage: http://mlsp2006.conwiz.dk/

Paper Submission Procedure
Prospective authors are invited to submit a double column paper of up to
six pages using the electronic submission procedure described at the
workshop homepage. Accepted papers will be published in a bound volume by
the IEEE after the workshop and a CDROM volume will be distributed at the
workshop. 


------------------------- MLSP'2006 webpage: http://mlsp2006.conwiz.dk/

MLSP 2006 ORGANIZING COMMITTEE:

General Chair
Seán MCLOONE, NUI Maynooth,

Technical Chair
Tülay ADALI , University of Maryland, Baltimore County

Program Chairs
Marc Van HULLE, Katholieke Universiteit Leuven
Jan LARSEN , Technical University of Denmark

Finance/Registration Chair
Barak PEARLMUTTER, Hamilton Institute, NUI Maynooth

Proceedings Chair
Scott C. DOUGLAS, Southern Methodist University

Publicity Chair
Patrick DE MAZIÈRE, Katholieke Universiteit Leuven

Competition Chairs
Deniz ERDOGMUS, Oregon Graduate Institute
Vince CALHOUN. Olin Neuropsychiatry Res. Ctr., Yale University

America Liaison
Yann LECUN, New York University

Asia Liaison
Andrzej CICHOCKI, Brain Science Institute - RIKEN

Europe Liaison
Erkki OJA, Helsinki University of Technology

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