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                       BIOINFORMATICS COLLOQUIUM
                    School of Computational Sciences
                        George Mason University
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              Iterative Denoising for Cross-Corpus Discovery

                         David Marchette, Ph.D.
                        John Hopkins University,
                      Naval Surface Warfare Center

                      Tuesday, September 21, 2004
                                4:30 pm
               Verizon Auditorium, Prince William Campus

Given two disparate corpora we wish to identify meaningful cross-corpus
associations; e.g., observations in different corpora satisfying,
perhaps, a dictionary definition of serendipity: a meaningful discovery
not explicitly sought. Toward this end, we introduce an iterative
denoising methodology for cross-corpus discovery. This is a method for
dimensionality reduction and search that utilizes corpus-dependent
projections. We take a (perhaps overly) broad definition of corpus; we
will illustrate the methodology on hyperspectral data analysis, text
document processing, and analyzing user login sessions.  Some potential
applications of these techniques to biological problems will be
discussed.

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Refreshments are served at 4:00 pm.  Find the schedule and directions at
http://www.binf.gmu.edu/colloq.html