The twentieth workshop in the series of workshops sponsored by IEEE Signal Processing Society 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. Papers are solicited that cover various aspects of machine learning for signal processing, as outlined in the following.
Machine Learning for Signal Processing

Machine learning in multi-dimensional and statistical signal processing is concerned with tasks such as detection, estimation, prediction, classification, and optimization. Typical approaches are modern implementations of supervised, unsupervised, reinforcement and semi-supervised learning, for instance using probabilistic modeling and kernel methods. Machine learning has a wide range of applications: adaptive filtering, time-series analysis, pattern recognition, image processing, computer vision, data mining and visualization, information retrieval, robot control, data fusion, blind source separation, sparse and structured representations, context modeling, multimodal interfaces, neuroinformatics, bioinformatics, sensor networks, cognitive radio, etc. Also, in many applications, hardware implementations are important due to large amounts of data to be processed and real-time processing requirements.
Data Competition

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.
Paper Submission Procedure

Authors are invited to submit a double column paper of up to six pages using the electronic submission procedure described at http://mlsp2010.conwiz.dk Accepted papers will be published by IEEE Press and electronic proceedings will be distributed at the Workshop.

Schedule
Submission of full papers April 11, 2010 (Extended. Formerly April 1, 2010)
Notification of acceptance May 28, 2010
Camera-ready paper and author registration June 18, 2010
Advance registration before June 23, 2010