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2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1
Learning a discriminative classifier using shape context distances
Madison, Wisconsin
June 18-June 20
ISBN: 0-7695-1900-8
ASCII Text
x 
 
Hao Zhang, Jitendra Malik, "Learning a discriminative classifier using shape context distances," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 242, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003.
 
 
BibTex
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@article{ 10.1109/CVPR.2003.1211360,
author = {Hao Zhang and Jitendra Malik},
title = {Learning a discriminative classifier using shape context distances},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2003},
issn = {1063-6919},
pages = {242},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211360},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Learning a discriminative classifier using shape context distances
SN - 1063-6919
SP
EP
A1 - Hao Zhang,
A1 - Jitendra Malik,
PY - 2003
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Hao Zhang, University of California at Berkeley
Jitendra Malik, University of California at Berkeley
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, the outputs of the classifiers are combined using the method called "error correcting output codes". The overall classifier is tested on benchmark dataset and is shown to outperform existing methods with far fewer prototypes.
Citation:
Hao Zhang, Jitendra Malik, "Learning a discriminative classifier using shape context distances," cvpr, vol. 1, pp.242, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003
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