IEEE Signal Processing Magazine Special Issue on Graphical
Models in Signal Processing
Graphical models,referred to invarious as guises “Markov random fields,”
“Bayesian networks,” “factor graphs,” “influence diagrams,” “decision
networks,” or “structured stochastic systems,” are an elegant marriage
of graph theory, probability theory and decision theory. They yield a unifying
perspective on many graph-based and multi-resolution algorithms in signal
processing and communications, and they provide a firm foundation for the
design and analysis of new methods. They are of particular value in areas
of signal processing that overlap with machine learning,time series
analysis, spatial statistics and optimization.
The purpose of this special issue is to provide an overview of recent
developments and open problems in the theory and practice of graphical
models, including applications to problems in signal processing and related
fields, and including connections to other areas of engineering,
statistics, physics and applied mathematics in which graphs and probabilities
come together.
This Call for Papers is an invitation for contributed articles, having a
tutorial flavor, covering recent developments in the theory and practice of
graphical models that would have broad appeal to the signal processing
community. Tutorial-style papers are solicited from the following
non-exhaustive set of topics:
Scope of Topics
‧ Dynamical, spatial and relational graphical models
‧ Graphical models and networks(e.g., sensor networks, social networks)
‧ Bayesian nonparametric models
‧ Variational, Markov chain Monte Carlo and sequential Monte Carlo
methods for inference
‧ Distributed inference and decision-making
‧ Inverse problems, tomographic reconstruction, phase wrapping
‧ Applications to communications, including channel identification and
equalization
‧ Applications to speech processing and image processing
‧ Applications to bioinformatics and systems biology
Submission Procedure
Prospective authors should submit white papers to the web submission
system at http://www.ee.columbia.edu/spm/ according to the following
timetable.
White papers, limited to 2 pages in the IEEE single-spaced double column
format,should summarize the motivation,the significance of the topic,and
an outline of the content.
Schedule(all deadlines are firm; no exceptions)
White paper due: August 1, 2009
Invitation notification: September 15, 2009
Manuscript due: December 15, 2009
Initial notification: March 15, 2010
Revised manuscript due: April 15, 2010
Final notification: June 1, 2010
Final manuscript due: July 1, 2010
Publication date: November 1, 2010
Guest editors
Michael I.Jordan,University of
California,Berkeley(jordan@eecs.berkeley.edu)
Erik B. Sudderth,Brown University(sudderth@cs.brown.edu)
Martin J.Wainwright,University of
California,Berkeley(wainwrig@eecs.berkeley.edu)
Alan S.Willsky,Massachusetts Institute of Technology(willsky@mit.edu)
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