New CFP for 21th IEEE International Workshop on Machine Learning & Announcement of Special Sessions

Call for Papers
for the
21th IEEE International Workshop on
Machine Learning for Signal Processing (MLSP 2011)
September 18 - September 21, 2011, Beijing, China
Paper submission now open!
Submission of full papers: May 22, 2011 (new)
Notification of acceptance: June 15, 2011 Data competition: June 20, 2011 Camera-ready paper and author registration: July 1, 2011 Advance registration before: July 8, 2011
================================================================= The 2011 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP 2011) will be held in Beijing, China, in September 2011. MLSP 2011 is the 21th 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. Biing-Hwang (Fred) Juang, Georgia Institute of Technology - Prof. Maja Pantic, Imperial College - Prof. Takashi Matsumoto, Waseda University - Dr. Kunio Kanshino, NTT Communication Science Lab - Dr. Yimin Zhang, Intel Research Lab
General chair: Tieniu Tan, Shigeru Katagiri Program chairs: Jianhua Tao, Atsushi Nakamura Special session chairs: Hideyuki Watanabe Publicity chairs: Marc Van Hulle, Yiqiang Chen, Feng Tian Web and publication chairs: JinAn Xu, Jan Larsen Data competition chairs: Zhenan Sun, Vince Calhoun, Kenneth Hild Financial Chair: Kaiqi Huang
MLSP 2011 will be held in the Institute of Automation, Chinese Academy of Sciences. For information on travel and hotels see .
Machine learning in signal processing 2011 is concerned with all aspects of machine learning for signal prrocessing including, but not limited to:
Algorithms & Architectures: Machine learning and statistical signal processing; typical approaches and modern implementations of supervised, unsupervised, reinforcement and semi-supervised learning, probabilistic modeling and kernel methods; artificial neural networks, advanced (adaptive, nonlinear) signal processing.
Applications: Speech processing, image processing (computervision), pattern recognition, medical imaging, multimodal interactions, intelligent multimedia and webprocessing, robotics, sonar and radar, biomedical engineering, timeseries prediction, blind source separation, data fusion and mining.
Implementations: Parallel and distributed implementations, hardware design and implementations for real-time processing requirements.
During the conference, a couple of sessions will be hold regarding new directions in the area of machine learning/pattern recognition. We are pleased to announce the following special sessions: - Reading the Future in Machine Learning - Reading the Future in System Design - Tackling the Unknown in Machine Learning - Plunging into the Unknown in Machine Learning Speakers and titles will be announced later at .
A data and signal analysis competition related to face recognition is being organized. Winners will present their works and receive their award during the Workshop. For more information see .
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 and electronic proceedings.
MLSP 2011 is sponsored by the IEEE Signal Processing Society, and we would like to acknowledge the support from Intel and Dolby.
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