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2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06)
A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images
Pasadena, California, USA
December 18-December 20
ISBN: 0-7695-2745-0
ASCII Text
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Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan, Jiun-Huei Ho, "A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 305-308, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006.
 
 
BibTex
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@article{ 10.1109/IIH-MSP.2006.32,
author = {Jun-Bao Li and Shu-Chuan Chu and Jeng-Shyang Pan and Jiun-Huei Ho},
title = {A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images},
journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2745-0},
pages = {305-308},
doi = {http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.32},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
TI - A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images
SN - 0-7695-2745-0
SP305
EP308
A1 - Jun-Bao Li,
A1 - Shu-Chuan Chu,
A1 - Jeng-Shyang Pan,
A1 - Jiun-Huei Ho,
PY - 2006
KW - null
VL - 0
JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
ER -
 
Jun-Bao Li, Harbin Institute of Technology, China
Shu-Chuan Chu, Cheng Shiu University, Taiwan
Jeng-Shyang Pan, National Kaohsiung University of Applied Sciences, Taiwan
Jiun-Huei Ho, Cheng Shiu University, Taiwan
Gaussian kernel is widely used in Support Vector Machines and many other kernel methods, and it is most often deemed to provide a local measure of similarity between vectors, which causes large storage requirements and large computational effort for transforming images to vectors owing to its viewing images as vectors. A novel matrix norm based Gaussian kernel (M-Gaussian kernel) which views images as matrices is proposed to solve the problem. Experiments conducted on ORL face database show the effectiveness of the proposed M-Gaussian kernel.
Citation:
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan, Jiun-Huei Ho, "A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images," iih-msp, pp.305-308, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
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