| Presentation | 2014-01-23 Minimum Classification Error Training with Automatic Determination of Loss Smoothness Common to All Classes Kensuke OTA, Hideyuki WATANABE, Shigeru KATAGIRI, Miho OHSAKI, Shigeki MATSUDA, Chiori HORI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The smoothness of the smooth classification error count loss used in the Minimum Classification Error (MCE) training has an effect of increasing training robustness to unseen samples. Therefore, an appropriate determination of the smoothness is obviously needed. Recently, to meet this necessity, a method using the Parzen-estimation-based MCE formalization was proposed for automatically setting the smoothness, and its effectiveness was demonstrated. However, this method sets the smoothness in the class-by-class mode, and it has a potential risk of causing over-fitting to training samples. In this paper, we propose a new method for automatically finding an appropriate value of the smoothness that is set to all of the classes, and demonstrate its usefulness. From evaluation experiments, we show that the proposed method works more stably and more effectively under various classifier conditions than its counterpart, preceding automatic determination method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Minimum classification error training / Parzen estimation |
| Paper # | PRMU2013-91,MVE2013-32 |
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| Conference Information | |
| Committee | MVE |
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| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Media Experience and Virtual Environment (MVE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Minimum Classification Error Training with Automatic Determination of Loss Smoothness Common to All Classes |
| Sub Title (in English) | |
| Keyword(1) | Minimum classification error training |
| Keyword(2) | Parzen estimation |
| 1st Author's Name | Kensuke OTA |
| 1st Author's Affiliation | Doshisha University() |
| 2nd Author's Name | Hideyuki WATANABE |
| 2nd Author's Affiliation | NICT |
| 3rd Author's Name | Shigeru KATAGIRI |
| 3rd Author's Affiliation | Doshisha University |
| 4th Author's Name | Miho OHSAKI |
| 4th Author's Affiliation | Doshisha University |
| 5th Author's Name | Shigeki MATSUDA |
| 5th Author's Affiliation | NICT |
| 6th Author's Name | Chiori HORI |
| 6th Author's Affiliation | NICT |
| Date | 2014-01-23 |
| Paper # | PRMU2013-91,MVE2013-32 |
| Volume (vol) | vol.113 |
| Number (no) | 403 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |