[CSENews] [Fwd: CSE Colloquia 4/3/09: Haesun Park & Vibeke Sorensen]

Teresa Isela VanderSloot iselava1 at cse.msu.edu
Mon Mar 30 15:10:42 EDT 2009



-------- Original Message --------
Subject: 	CSE Colloquia 4/3/09: Haesun Park & Vibeke Sorensen
Date: 	Mon, 30 Mar 2009 14:38:53 -0400
From: 	glasskim <glasskim at cse.msu.edu>
To: 	eng_all at egr.msu.edu



The Department of Computer Science and Engineering Colloquium Series 
will feature two speakers on Friday, April 3.

10:20 AM
1257 Anthony Hall
Dr. Haesun Park of the Georgia Institute of Technology: /Linear 
Discriminant Analysis for Dimension Reduction and Visualization of 
Clustered High Dimensional Data

/11:30 AM
1257 Anthony Hall
Dr. Vibeke Sorensen of University at Buffalo, State University of New 
York: /New Minds


/
------------------------------------------------------------------------


  Linear Discriminant Analysis for Dimension Reduction and Visualization
  of Clustered High Dimensional Data


    Spring 2009 CSE Colloquium Series <http://www.cse.msu.edu/?Pg=143&Col=2>

*Haesun Park <http://www.cc.gatech.edu/%7Ehpark/>*

Professor and Associate Chairperson
Computational Science and Engineering Division
Georgia Institute of Technology

Friday, April 3
10:20 AM - 11:20 AM
1257 Anthony Hall <http://maps.msu.edu/interactive/index.php?location=anh>

Host: Pang-Ning Tan <http://www.cse.msu.edu/%7Eptan/>


      Abstract

One of the major challenges in analyzing modern data sets is that often 
they are massive and high dimensional.
Dimension reduction is imperative for efficient processing of high 
dimensional data. Numerous dimension reduction methods such as principal 
component analysis (PCA) and latent semantic indexing (LSI) have been 
developed. When the data set is already clustered, Linear Discriminant 
Analysis (LDA) has been utilized as an effective method of choice. We 
review the classical LDA which is applicable only when the data set is 
oversampled and show how it can be generalized so that it becomes 
applicable regardless of the relative size between the data points and 
the data dimension. We also present nonlinear extension of discriminant 
analysis based on kernel functions. Some experimental results from text 
classification, facial recognition, and fingerprint classification 
demonstrate effectiveness of the LDA based approaches. We show how LDA 
is further developed into methods for effective 2D visualization of 
clustered high dimensional data.


      Biography

Prof. Haesun Park received her B.S. degree in Mathematics from Seoul 
National University, Seoul Korea, in 1981 with summa cum laude and the 
University President's Medal for the top graduate, and her M.S. and 
Ph.D. degrees in Computer Science from Cornell University, Ithaca, NY, 
in 1985 and 1987, respectively. She was on the faculty of the Department 
of Computer Science and Engineering, University of Minnesota, Twin 
Cities, from 1987 to 2005. From 2003 to 2005, she served as a program 
director for the Computing and Communication Foundations Division at the 
National Science Foundation, Arlington, VA, U.S.A. Since July 2005, she 
has been a professor in the Computational Science and Engineering 
Division at the Georgia Institute of Technology, Atlanta, Georgia where 
she is currently the associate chair. Her research interests include 
numerical algorithms, data analysis, bioinformatics, and parallel 
computing. She has published over 120 refereed research papers in these 
areas. She is the director of the NSF/DHS FODAVA (Foundations of Data 
and Visual Analytics) project where the goal is to create mathematical 
and computational foundations for data and visual analytics which is a 
newly emerging discipline of science of analytical reasoning facilitated 
by data analysis and interactive visualization. Prof. Park has served on 
numerous conference committees including conference co-chair for SIAM 
International Conference for Data Mining in 2008 and 2009. Currently she 
is on the editorial board of BIT Numerical Mathematics, SIAM Journal on 
Matrix Analysis and Applications, Statistical Analysis and Data Mining, 
and International Journal of Bioinformatics Research and Applications.

------------------------------------------------------------------------


  New Minds


    Spring 2009 CSE Colloquium SeriesVibeke Sorensen
    <http://www.cse.msu.edu/?Pg=143&Col=2>

*Vibeke Sorensen <http://vibeke.info>*

Professor and Chairperson
Department of Media Study
University at Buffalo, State University of New York

Friday, April 3
11:30 AM - 12:30 PM 
1257 Anthony Hall <http://maps.msu.edu/interactive/index.php?location=anh>

Host: Laura Dillon <http://www.cse.msu.edu/%7Eldillon/>


      Abstract

New Minds: There is a major increase in transdisciplinary activity in 
universities and research centres around the world. What is the role 
that art can play in dialog with science and computing, and why is it 
important now to emphasize it? This talk discusses related 
philosophical, political, and esthetic issues, and introduces the 
Mindship, a unique art-science "think-tank" in Copenhagen, Denmark that 
brought together mathematicians, philosophers, evolutionary biologists, 
composers, writers, as well as visual and digital media artists.


      Biography

Vibeke Sorensen is a professor and artist working in digital multimedia 
and computer animation, interactive architectural installation and 
visual-music performance. Her work in experimental new media spans three 
decades and has been published and exhibited worldwide, including in 
books, galleries, museums, conferences, performances, film festivals, on 
cable and broadcast television, and on the Internet.

 From 1984-1994, she was Founding Director of the Computer Animation 
Laboratory in the School of Film and Video at the California Institute 
of the Arts, and from 1994-2005 she was Professor and Founding Chair of 
the Division of Animation and Digital Arts in the School of 
Cinema-Television at the University of Southern California.

Sorensen is a 2001 Rockefeller Foundation Fellow in 
Film/Video/Multimedia and the 2005 Knight Distinguished Visiting 
Lecturer at the University of Manitoba, Winnipeg, Canada.

Currently, she is Professor and Chair of the Department of Media Study 
at the University at Buffalo, State University of New York. She was 
Chair of the 2007 ACM SIGGRAPH Art Gallery, Global Eyes. For more 
information, please see http://vibeke.info




-- 
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Teresa Isela VanderSloot, M.S.A.
Academic Specialist/Advisor
Computer Science and Engineering
College of Engineering
Michigan State University
3201 Engineering Building
East Lansing, MI 48824-1226
Phone: (517) 353-5455
Fax: (517) 432-1061
www.cse.msu.edu/~iselava1

Schedule an appointment:https://ntweb11.ais.msu.edu/aas/
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