Call for papers: MLSP 2010, the Twentieth IEEE International Workshop on Machine Learning for Signal Processing

First Call for Papers for the

Twentieth IEEE International Workshop on Machine Learning for Signal Processing
(MLSP 2010)

August 29 – September 1, 2010, Kittila, Finland



Submission of full papers: April 1, 2010
Notification of acceptance: May 28, 2010
Camera-ready paper and author registration: June 18, 2010
Advance registration before: June 23, 2010

The 2010 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL
PROCESSING (MLSP 2010) will be held in Kittila, Finland, in
August-September 2010. MLSP 2010 is the twentieth workshop in the
series of workshops sponsored by IEEE Signal Processing Society. It
will present the most recent and exciting contributions in machine
learning for signal processing through keynote talks as well as
special and regular single-track sessions.


– Prof. Zoubin Ghahramani, University of Cambridge
– Prof. Tom Mitchell, Carnegie Mellon University
– Dr. Henry Tirri, Head of Nokia Research Center


General chair: Erkki Oja
Program chairs: Samuel Kaski, David Miller
Special session chairs: Samy Bengio, Mikko Kurimo
Publicity chairs: Marc Van Hulle, Jaakko Peltonen
Web and publication chairs: Antti Honkela, Jan Larsen
Data competition chairs: Vince Calhoun, Kenneth Hild, Mikko Kurimo
Local arrangements: Tapani Raiko (chair), Francesco Corona, Ali Faisal, Mari-Sanna Paukkeri


MLSP 2010 will be held in the Levi Summit conference and exhibition
centre in Kittila, Finland. Levi is one of the largest resorts in
Finnish Lapland, north of the Arctic Circle. In the summer, Levi
offers many sports activities as well as lots of wild northern nature.
The conference centre is located high on the hillside of the Levi
fell, accessible by gondola from the main village.


Machine learning in signal processing is concerned with tasks such as
detection, estimation, prediction, classification, and optimization,
with a wide range of applications. The following is a non-exhaustive
list of topics for MLSP 2010:

– Bayesian learning and signal processing
– Cognitive information processing
– Graphical and kernel methods
– Information-theoretic learning
– Learning theory and algorithms, including bounds on performance
– Supervised learning, including signal detection, pattern
recognition and classification
– Unsupervised learning, reinforcement learning
– Source separation and component analysis
– Data fusion and integration
– Feature extraction, information visualization
– Sparse and structured representations
– Neural network learning
– Time-series analysis
– Adaptive filtering
– Data mining, information retrieval
– Sequential learning and sequential decision methods
– Hardware implementation of machine learning in signal processing
– Applications of machine learning: Bioinformatics, Biomedical and
neural signal processing, Neuroinformatics, Speech and audio
processing, Image and video processing, Computer vision,
Sensor networks, Robot control, Communications, Cognitive radio,
Multimodal interfaces and context modeling, Intelligent multimedia
and web processing


A special session “Towards multimodal proactive interfaces using
large-scale machine learning” is being organized. For more
information see .


In conjunction with the workshop, a data and signal analysis
competition is being organized. Winners will present their works and
receive their award during the Workshop.


Authors are invited to submit a double column paper of up to six pages
using the electronic submission procedure described at

Accepted papers will be published by IEEE Press and electronic
proceedings will be distributed at the Workshop.

SPONSORS: MLSP 2010 is supported by IEEE, by the IEEE Signal
Processing Society, and by the PASCAL2 Network of Excellence.

See for more details!