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Host: Hotel Loretto
Sponsor: IEEE Information Theory Society
Homepage: http://www.ifp.uiuc.edu/itw-deci/
Organizers: Alfred O. Hero III, Pierre Moulin, J. A. O'Sullivan
Deadline for abstracts: October 09, 1999
Description:
Detection and estimation theory have historically been closely linked to Information Theory. Analysis of communication systems relies
heavily on and contributes to advances in detection and estimation theory. Considerable theoretical and practical advances in this area have
been made possible by the fostering of ideas from Statistics and Information Theory. This workshop will complement those activities by
seeking contributions from researchers in signal processing, image processing, image understanding, pattern recognition, and communication
theory, whose work is heavily influenced by information theoretic considerations. While novel applications will play important roles, new
theoretical results are expected to dominate.
The workshop will feature three plenary speakers: Andrew Barron (Yale), H. Vincent Poor (Princeton), and Michael I. Miller (Washington University). Invited talks and contributed talks will be presented in the following areas:
Detection Theory Estimation Theory Classification Statistical Imaging Regularization for inverse problems Random Processes Inference based on compressed data Signal Processing Applications of IT
Speakers: Andrew Barron (Yale), H. Vincent Poor (Princeton), Michael I. Miller (Washington University)
Date received: January 21, 1999
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