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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2004)
Washington, D.C., USA
June 27, 2004 to July 2, 2004
ISSN: 1063-6919
ISBN: 0-7695-2158-4
TABLE OF CONTENTS
Learning in Computer Vision and Pattern Recognition

IEEE Workshop Learning in Computer Vision and Pattern Recognition (PDF)

Jing Peng , Tulane University
Bruce Draper , Colorado State University
Bir Bhanu , University of California, Riverside
pp. 92

On Labeling Noise and Outliers for Robust Concept Learning for Image Databases (Abstract)

Bir Bhanu , University of California, Riverside
Anlei Dong , University of California, Riverside
pp. 94

Learning with the Optimized Data-Dependent Kernel (Abstract)

Huilin Xiong , Concordia University, Montreal, Quebec, Canada
M. O. Ahmad , Concordia University, Montreal, Quebec, Canada
M. N. S. Swamy , Concordia University, Montreal, Quebec, Canada
pp. 95

Learning From a Small Number of Training Examples by Exploiting Object Categories (Abstract)

Michael Fink , The Hebrew University of Jerusalem
Yair Weiss , The Hebrew University of Jerusalem
Kobi Levi , The Hebrew University of Jerusalem
pp. 96

Optimal Subclass Discovery for Discriminant Analysis (Abstract)

Aleix M. Mart?nez , The Ohio State University
Manli Zhu , The Ohio State University
pp. 97

Efficient Regularized Least Squares Classification (Abstract)

Peng Zhang , Tulane University, New Orleans, LA
Jing Peng , Tulane University, New Orleans, LA
pp. 98

Kernel Optimal Component Analysis (Abstract)

Xiuwen Liu , Florida State University, Tallahassee, FL
Qiang Zhang , Florida State University, Tallahassee, FL
pp. 99

On-line Learning of Motion Patterns using an Expert Learning Framework (Abstract)

Suresh K. Lodha , University of California, Santa Cruz
Sanjit Jhala , University of California, Santa Cruz
pp. 100

Learning to Detect Scene Text Using a Higher-Order MRF with Belief Propagation (Abstract)

Dong-Qing Zhang , Columbia University, New York, NY
Shih-Fu Chang , Columbia University, New York, NY
pp. 101

Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition (Abstract)

Wenjing Li , University of Nevada, Reno
Nikolaos Bourbakis , Wright State University
George Bebis , University of Nevada, Reno
pp. 102

Forestry Scene Geometry Estimation Via Statistical Learning (Abstract)

Terry Caelli , University of Alberta, Edmonton, A.B. Canada
Li Cheng , University of Alberta, Edmonton, A.B. Canada
pp. 103

A Generalized Temporal Context Model for Semantic Scene Classification (Abstract)

Jiebo Luo , Eastman Kodak Company
Matthew Boutell , University of Rochester
pp. 104

AdaTree: Boosting a Weak Classifier into a Decision Tree (Abstract)

Etienne Grossmann , University of Kentucky, Lexington
pp. 105

Learning a Synchronous MAP for Improved Face Recognition (Abstract)

Penio S. Penev , Seelicon Research, Princeton, NJ
pp. 106

Slightly Supervised Learning of Part-Based Appearance Models (Abstract)

Patrick P?rez , Irisa/Inria, Cedex
Lexing Xie , Columbia University, New York, NY
pp. 107

Physics-Based Cooperative Sensor Fusion for Moving Object Detection (Abstract)

Bir Bhanu , University of California, Riverside
Sohail Nadimi , University of California, Riverside
pp. 108
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