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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2003)
Madison, Wisconsin
June 16, 2003 to June 22, 2003
ISSN: 1063-6919
ISBN: 0-7695-1900-8
TABLE OF CONTENTS
Workshop on Learning in Computer Vision and Pattern Recognition

Coevolutionary Computation for Synthesis of Recognition Systems (Abstract)

Bir Bhanu , University of California, Riverside
Krzysztof Krawiec , Poznan University of Technology, Poland
pp. 59

MDL-based Genetic Programming for Object Detection (Abstract)

Yingqiang Lin , University of California, Riverside
Bir Bhanu , University of California, Riverside
pp. 60

Learning Visual Feature Detectors for Obstacle Avoidance using Genetic Programming (Abstract)

William D. Smart , Washington University, St. Louis, MO
Andrew Marek , Washington University, St. Louis, MO
Martin C. Martin , MIT Artificial Intelligence Laboratory
pp. 61

Iterative Relief (Abstract)

Bruce Draper , Colorado State University, Fort Collins
Carol Kaito , Colorado State University, Fort Collins
Jos? Bins , Pontificia Universidade Catolica, Porto Alegre, Brazil
pp. 62

Kernel Pooled Local Subspaces for Classification (Abstract)

Peng Zhang , Tulane University
Jing Peng , Tulane University
Carlotta Domeniconi , George Mason University
pp. 63

Robust Fusion of Uncertain Information (Abstract)

Haifeng Chen , Rutgers University, Piscataway, NJ
Peter Meer , Rutgers University, Piscataway, NJ
pp. 64

An Integrated Learning Framework for Recognition Based on Images (Abstract)

Xiuwen Liu , Florida State University, Tallahassee
Anuj Srivastava , Florida State University, Tallahassee
pp. 65

Carving Prior Manifolds Using Inequalities (Abstract)

Martin Eriksson , Royal Institute of Technology (KTH)
Stefan Carlsson , Royal Institute of Technology (KTH)
pp. 66

Two Sequential Stages Classifier for Multispectral Data (Abstract)

Refaat M Mohamed , University of Louisville, KY
Aly A Farag , University of Louisville, KY
pp. 67

Texture Structure Classification and Depth Estimation using Multi-Scale Local Autocorrelation Features (Abstract)

Hiroshi Nagahashi , Tokyo Institute of Technology
Yousun Kang , Tokyo Institute of Technology
Osamu Hasegawa , Tokyo Institute of Technology; Neuroscience Research Institute, Advanced Industrial Science and Technology (AIST); PRESTO, Japan Science and Technology Corp. (JST)
pp. 68
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