| Presentation | 2014-01-23 Minimum Classification Error Training with Automatic Control of Loss Smoothness Hideaki TANAKA, Hideyuki WATANABE, Shigeru KATAGIRI, Miho OHSAKI, Shigeki MATSUDA, Chiori HORI, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The Minimum Classification Error (MCE) training has been successfully applied to various types of classifiers. However, its training power was casted only to the optimization of class boundaries in an original sample space. There is the possibility of applying the MCE training to some other features or feature space, which may lead to more accurate classification. Motivated by this, we introduce in this paper a new MCE training method, called Kernel Minimum Classification Error training. This new method is formalized by applying an MCE training associated with auxiliary-function-based optimization to a classifier that has linear discriminant functions and kernel feature projection. The formalization of the method is characterized by the use of cross-entropy loss as an auxiliary function. We also show basic performances of the method through several evaluation experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Minimum classification error training / Kernel method / Auxiliary function method |
| Paper # | PRMU2013-92,MVE2013-33 |
| Date of Issue |
| Conference Information | |
| Committee | PRMU |
|---|---|
| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Minimum Classification Error Training with Automatic Control of Loss Smoothness |
| Sub Title (in English) | |
| Keyword(1) | Minimum classification error training |
| Keyword(2) | Kernel method |
| Keyword(3) | Auxiliary function method |
| 1st Author's Name | Hideaki TANAKA |
| 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 # | PRMU2013-92,MVE2013-33 |
| Volume (vol) | vol.113 |
| Number (no) | 402 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |