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Research Activities > Programs > Sparse Data Representation > Sparse Representation in Redundant Systems

Sparse Representation in Redundant Systems

May 9 - May 13 2005

CSIC Building (#406), Seminar Room 4122.
Directions: home.cscamm.umd.edu/directions


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Organizing Committee Scientific Content Confirmed Participants
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REGISTRATION REQUESTED

Due to space limitations, please register/RSVP at /programs/srs05/rsvp.htm

Due to the large number of applications for the workshop on Sparse Representation in Redundant Systems (May 9-13), we regret that RSVP is now closed to new applicants.

ORGANIZING COMMITTEE

Name

Affiliation

Email
John Benedetto University of Maryland
Ingrid Daubechies Princeton University
Ron DeVore University of Maryland
David Donoho Stanford University
Eitan Tadmor University of Maryland


SCIENTIFIC CONTENT

This workshop will concentrate on the following problems:

  1. the development of quantitative results for the sparse representation of functions using redundant systems;
  2. greedy algorithms and other numerical procedures for finding sparse representations;
  3. the computational complexity of numerical methods for sparse representations;
  4. applications of sparse representations to image and signal processing.


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CONFIRMED PARTICIPANTS

 

Name

Affiliation
Rice University
University of Maryland
University of South Carolina
California Institute of Technology
University of Maryland
Princeton University
Research & Development at RealTimeImage
University of Maryland
University of Maryland
Stanford University
University of Maryland
System Planning Corp
University of Michigan
Georgia Institute of Technology
Cornell University
University of Wisconsin
Carnegie Mellon
Statistics at Paris VII
Justus-Liebig-University Giessen
North Carolina State University
Department of Mathematics, UMCP
University of Georgia
Statistics at Paris VII
Mathematics, U.S. Naval Academy
Stanford University
University of Wisconsin-Madison
University of California, Davis
  National University of Singapore
SR2 Group, LLC
University of Maryland
Stanford University
Harvard University
University of South Carolina
University of Michigan
University of California, Davis
Harvard University
Princeton University

ACKNOWLEDGEMENT

Partial funding is provided by the University of South Carolina Industrial Mathematics Institute (IMI) and by the Office of Naval Research (ONR).

FUNDING

A limited amount of funding for participants at all levels is available, especially for researchers in the early stages of their career who want to attend the full program.


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INFORMATION FOR PARTICIPANTS

CSCAMM Visitor Guide: home.cscamm.umd.edu/visitors


CONTACT

Center for Scientific Computation And Mathematical Modeling (CSCAMM)
Computer Science Instructional Center (Building #406)
University of Maryland, College Park
College Park, MD 20742-3289

Email:

Web: /programs/srs05


POSTER

Click here for Poster [PDF]


PHOTOS

Click Here for Photos

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