IEEE Signal Processing Society Japan Chapter 会員各位

                           IEEE Signal Processing Society Japan Chapter
                                    Chair      嵯峨山茂樹(東京大学)
                                    Vice Chair 貴家 仁志 (首都大学東京)

IEEE Signal Processing Society Japan Chapterの主催で、
4月2日(月)に京都大学で、
Tulay Adali先生によるDistinguished Lecturer講演会を開催します。
本講演会は、

CREST Symposium on Human-Harmonized Information Technology

の１セッションとして行われます。
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                        記

      IEEE SPS Japan Chapter Distinguished Lecturer 講演会

(1) Speaker (講演者)
Professor Tulay Adali
Department of CSEE,
University of Maryland, Baltimore County (UMBC), USA

(2) Talk Title (講演題目)
ICA and IVA: Theory, Connections, and Applications

(3) Date and Place (日時・場所)

4月2日(月) 15:30-16:30
京都大学 百周年時計台記念館 国際交流ホール...アクセス
April 2 (Mon) 15:30-16:30
Kyoto University Clock Tower Centennial Hall...Access

(4) Talk Abstract (講演概要)

Data-driven methods are based on a simple generative model and hence
can minimize the assumptions on the nature of data. They have emerged
as promising alternatives to the traditional model-based approaches in
many applications where the underlying dynamics are hard to
characterize. Independent component analysis (ICA), in particular, has
been a popular data-driven approach and an active area of research. By
starting from a simple linear mixing model and imposing the constraint
of statistical independence on the underlying components, ICA can
recover the linearly mixed components subject to only a scaling and
permutation ambiguity. It has been successfully applied to numerous
data analysis problems in areas as diverse as biomedicine,
communications, finance, geophysics, and remote sensing.

This talk reviews the fundamentals and properties of ICA, in
particular, for the most widely used approach to achieve ICA, mutual
information minimization, introduces the generalization of ICA for
analysis of multiple datasets, independent vector analysis (IVA), and
discusses the connections between ICA and IVA. Two key problems for
achieving a successful ICA decomposition, matrix optimization and
density matching, are discussed in detail, along with new powerful
approaches for addressing these two key signal processing
problems. Successful application examples in medical image analysis
and speech processing are presented, and important practical issues
are emphasized.

(5) Speaker Biography (講演者紹介)

Tulay Adali (F) received the Ph.D. degree in electrical engineering
from North Carolina State University, Raleigh, in 1992 and joined the
faculty at the University of Maryland Baltimore County (UMBC),
Baltimore, the same year where she currently is a Professor in the
Department of Computer Science and Electrical Engineering. She has
held visiting positions at Ecole Superieure de Physique et de Chimie
Industrielles, Paris, France; Technical University of Denmark, Lyngby,
Denmark; Katholieke Universiteit, Leuven, Belgium; University of
Campinas, Brazil; and University of Newcastle, Australia.

Prof. Adali assisted in the organization of a number of international
conferences and workshops including the IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP), the IEEE
International Workshop on Neural Networks for Signal Processing
(NNSP), and the IEEE International Workshop on Machine Learning for
Signal Processing (MLSP). She was the General Co-Chair, NNSP
(2001-2003); Technical Chair, MLSP (2004-2008); Program Co-Chair, MLSP
(2008 and 2009), 2009 International Conference on Independent
Component Analysis and Source Separation; Publicity Chair, ICASSP
(2000 and 2005); and Publications Co-Chair, ICASSP 2008.

Prof. Adali chaired the IEEE SPS Machine Learning for Signal
Processing Technical Committee (2003-2005); Member, SPS Conference
Board (1998-2006); Member, Bio Imaging and Signal Processing Technical
Committee (2004-2007); and Associate Editor, IEEE Transactions on
Signal Processing (2003-2006), Elsevier Signal Processing Journal
(2007-2010). She is currently Chair of the MLSP Technical Committee
and serving on the Signal Processing Theory and Methods Technical
Committee; Associate Editor, IEEE Transactions on Biomedical
Engineering and Journal of Signal Processing Systems for Signal,
Image, and Video Technology; Senior Editorial Board member, IEEE
Journal of Selected Areas in Signal Processing.