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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Texture Classification Using Kernel Independent Component Analysis
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
x 
 
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen, "Texture Classification Using Kernel Independent Component Analysis," Pattern Recognition, International Conference on, vol. 1, pp. 620-623, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2004.1334231,
author = {Jian Cheng and Qingshan Liu and Hanqing Lu and Yen-Wei Chen},
title = {Texture Classification Using Kernel Independent Component Analysis},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {620-623},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334231},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Texture Classification Using Kernel Independent Component Analysis
SN - 1051-4651
SP620
EP623
A1 - Jian Cheng,
A1 - Qingshan Liu,
A1 - Hanqing Lu,
A1 - Yen-Wei Chen,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Jian Cheng, Chinese Academy of Sciences, China
Qingshan Liu, Chinese Academy of Sciences, China
Hanqing Lu, Chinese Academy of Sciences, China
Yen-Wei Chen, Ritsumeikan University, Japan
We propose a novel method, Kernel Independent Component Analysis (KICA), for texture features extraction. The texture images are first mapped into a higher-dimensional implicit feature space. Then a set of nonlinear basis functions are learned using KICA. The feature vectors are obtained by projected the texture images onto the basis functions. Comparison experiments between KICA and the other two classic methods: Gabor filters and ICA, are performed. The results indicate that the KICA is an efficient approach for texture classification.
Citation:
Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen, "Texture Classification Using Kernel Independent Component Analysis," icpr, vol. 1, pp.620-623, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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