| Paper Abstract and Keywords |
| Presentation |
2007-03-16 15:15
Performance evaluation of correlation kernels to texture classification
Yo Horikawa (Kagawa Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Correlation kernels, which are the inner products of the autocorrelation functions of original data, have been used in kernel-based pattern classification or feature extraction methods, e.g. support vector machines. The correlation kernels are effectively calculated with the second-order cross-correlation functions. In this study, classification experiments on texture images with the correlation kernels were done and their performance was evaluated. It was shown that the generalization ability of the correlation kernels degrades as the order of the correlations increases and the performance of the higher-order correlation kernels is lowered consequently. However, the third to tenth-order correlation kernels showed better performance than the second-order kernel for small images in many cases. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
kernel method / support vector machine / principal component analysis / canonical correlation analysis / texture classification / correlation kernel / / |
| Reference Info. |
IEICE Tech. Rep., vol. 106, no. 606, PRMU2006-276, pp. 125-130, March 2007. |
| Paper # |
PRMU2006-276 |
| Date of Issue |
2007-03-09 (PRMU) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
|
| Conference Information |
| Committee |
PRMU |
| Conference Date |
2007-03-15 - 2007-03-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2007-03-PRMU |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Performance evaluation of correlation kernels to texture classification |
| Sub Title (in English) |
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| Keyword(1) |
kernel method |
| Keyword(2) |
support vector machine |
| Keyword(3) |
principal component analysis |
| Keyword(4) |
canonical correlation analysis |
| Keyword(5) |
texture classification |
| Keyword(6) |
correlation kernel |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Yo Horikawa |
| 1st Author's Affiliation |
Kagawa University (Kagawa Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2007-03-16 15:15:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2006-276 |
| Volume (vol) |
vol.106 |
| Number (no) |
no.606 |
| Page |
pp.125-130 |
| #Pages |
6 |
| Date of Issue |
2007-03-09 (PRMU) |