JSM Activity #137

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Activity ID:  137
Title
* ! Representation and Modeling of Visual Images
Date / Time / Room Sponsor Type
08/12/2002
2:00 PM - 3:50 PM
Room: H-Sutton Parlor Center 		ENAR, Section on Bayesian Stat. Sciences*, Section on Statistical Computing*, Section on Statistical Graphics* Topic Contributed
Organizer: Yingnian Wu, University of California, Los Angeles
Chair: Christopher H. Holloman, Duke University
Discussant:  
Floor Discussion 3:45 PM
Description

Vision is about recognizing visual patterns (e.g., river and trees) from the huge amount of spatial and temporal data constantly received by retina or camera. Mathematical models of these patterns can guide the recognition process, and are also useful for neural science, computer graphics and image compression.
  300779  By:  Ann B. Lee 2:05 PM 08/12/2002
The Complex Statistics of Natural Images

  300916  By:  Yizhou  Wang 2:25 PM 08/12/2002
A Generative Model for Textured Motion Analysis and Synthesis

  300844  By:  Xiaoming  Huo 2:45 PM 08/12/2002
Beamlets, Wedgelets and New Multiscale Image Analysis

  300967  By:  Yingnian  Wu 3:05 PM 08/12/2002
Statistical Modeling of Image Sketch

  301470  By:  Elizaveta  Levina 3:25 PM 08/12/2002
An Approximate Bayes Rule for Texture Classification Based on Filter Marginals.

JSM 2002

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Revised March 2002