| Paper Abstract and Keywords |
| Presentation |
2018-02-16 11:30
Accuracy Improvement of Preference Estimation for Video Using SFEM-GS
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we present two kinds of canonical correlation analysis methods, supervised fractional-order embedding multiview canonical correlation analysis (SFEMCCA) and its geometrical version, SFEMCCA with geometrical structure (SFEM-GS). They are CCA methods realizing the following three points: (1) learning from noisy data with small number of samples and large number of dimensions, (2) multiview learning that can integrate three or more kinds of features, and (3) supervised learning using labels corresponding to the samples. In real world, there are many cases requiring the above three learning techniques. Since our previous researches also are able to adopt these learning techniques, these CCA methods, which takes them into account, are effective for our previous researches. Experimental results indicated that estimation accuracies using our methods were statistically significant (p < 0.01) compared to those of several conventional methods of supervised CCA. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
canonical correlation analysis / fractional-order technique / local structure preservation / discriminant analysis / feature extraction / / / |
| Reference Info. |
ITE Tech. Rep., vol. 42, no. 4, ME2018-34, pp. 315-318, Feb. 2018. |
| Paper # |
ME2018-34 |
| Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IEICE-ITS IEICE-IE MMS HI ME AIT |
| Conference Date |
2018-02-15 - 2018-02-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2018-02-ITS-IE-MMS-HI-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Accuracy Improvement of Preference Estimation for Video Using SFEM-GS |
| Sub Title (in English) |
|
| Keyword(1) |
canonical correlation analysis |
| Keyword(2) |
fractional-order technique |
| Keyword(3) |
local structure preservation |
| Keyword(4) |
discriminant analysis |
| Keyword(5) |
feature extraction |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Yoshiki Ito |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Takahiro Ogawa |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Miki Haseyama |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2018-02-16 11:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2018-34, HI2018-34, ME2018-34, AIT2018-34 |
| Volume (vol) |
vol.42 |
| Number (no) |
no.4 |
| Page |
pp.315-318 |
| #Pages |
4 |
| Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |