[Apologies for multiple postings]


This is just a very friendly reminder.

**************************************************
*
*
*    GRAND Seminar
*    http://cs.gmu.edu/~robotics/Main/GrandSeminar
*
*
**************************************************


Fast CVT-based Data Visualization Algorithms


*Time/Venue*

12:00 noon, April 13, Tuesday, 2010, ENGR 4201

*Speaker*

Maria Emelianenko
Assistant Professor
Department of Mathematical Sciences
George Mason University

*Abstract*

Efficient data visualization techniques are critical for many scientific
applications. Centroidal Voronoi tessellation (CVT) based algorithms
offer a convenient vehicle for performing image analysis, segmentation
and compression while allowing to optimize retained image quality with
respect to a given metric. In experimental science with data counts
following Poisson distributions, several CVT-based data tessellation
algorithms have been recently developed. Although they surpass their
predecessors in robustness and quality of reconstructed data, time
consumption remains to be an issue due to heavy utilization of the
slowly converging Lloyd iteration. In this talk I will survey several
possible approaches to accelerating CVT construction, including a
recently developed multilevel optimization based CVT-based binning
scheme. Its performance on a set of spectroscopy data, some convergence
estimates and possible generalizations will be discussed.

*Short Bio*

Maria Emelianenko was born in Dubna, Russia. She received an M.S. in
Applied Mathematics from Moscow State University and a Ph.D. in
Mathematics from Pennsylvania State University in 2005. She spent two
years as a Research Associate at Carnegie Mellon's Center for Nonlinear
Analysis before joining George Mason University faculty in 2007. She is
currently working on problems arising on the interface between
mathematics, physics, biology and engineering.


-- 
*Jyh-Ming Lien*
Assistant Professor, George Mason University
+1-703-993-9546
http://cs.gmu.edu/~jmlien