Thank you to the following supporters of ICASSP 2007
The following tutorials will be offered at ICASSP 2007. Please click the tutorial title to view more information.
TUT-1: Quantitative Analysis in Multimodality Molecular Imaging
Presented by: Dr. Habib Zaidi (Geneva University Hospital, Switzerland)
TUT-2: Machine Learning and Signal Processing Applications of Fixed Point Theory
Presented by: Prof. Danilo Mandic (Imperial College, UK) and Prof. Isao Yamada (Tokyo Institute of Technology)
TUT-3: Multimedia Signal Processing on Personal Computers
Presented by: Dr. Yen-Kuang Chen (Intel Corporation, USA)
TUT-4: Circular and Non-Circular Complex Random Signals with Applications in Wireless Communications
Presented by: Dr. Mikko Valkama (Tampere University of Technology, Finland) and Prof. Visa Koivunen (Helsinki University of Technology, Finland)
TUT-5: Multimodality in Human-Computer Interfaces
Presented by: Dr. Michael Johnston and Dr. Srinivas Bangalore (AT&T Labs Research, USA)
TUT-6: Frequency-Domain Methods for Biometric Recognition
Presented by: Prof. Vijayakumar Bhagavatula and Dr. Marios Savvides (Carnegie Mellon University, USA)
TUT-7: Peer-to-Peer Multimedia Applications
Presented by: Dr. Jin Li (Microsoft Research, USA)
TUT-8: Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Presented by: Prof. Harry L. Van Trees (University of Hawaii, USA) and Prof. Kristine Bell (George Mason University, USA)
TUT-9: Joint Source and Channel Decoding: An Idea Whose Time Has Come
Presented by: Prof. Pierre Duhamel and Dr. Michel Kieffer (CNRS/LSS, France)
TUT-10: Spoken Language Understanding
Presented by: Dr. Dilek Hakkani-Tur (ICSI, USA) and Dr. Gokhan Tur (SRI International, USA)
TUT-11: Audio Source Separation based on Independent Component Analysis
Presented by: Dr. Shoji Makino and Dr. Hiroshi Sawada (NTT, Japan)
TUT-12: Audio-Visual Biometric Recognition
Presented by: Dr. Amitav Das (Microsoft Research, India)
TUT-13: Manifold Learning: A Geometric Perspective on Machine Learning
Presented by: Prof. Partha Niyogi (University of Chicago, USA)
TUT-14: Improving on Maximum Likelihood Estimation: New Tools for Old Problems
Presented by: Prof. Yonina Eldar (Technion, Israel)
TUT-15: Distributed Signal Processing for Wireless Sensor Networks
Presented by: Prof. Zhi-Quan Luo and Prof. Georgios B. Giannakis (University of Minnesota, USA)
TUT-16: Automatic Spoken Document Processing for Retrieval and Browsing
Presented by: Dr. Ciprian Chelba (Google, USA) and Dr. T. J. Hazen (MIT, USA)