| 大会名称 |
|---|
| 2009年 情報科学技術フォーラム(FIT) |
| 大会コ－ド |
| F |
| 開催年 |
| 2009 |
| 発行日 |
| 2009/8/20 |
| セッション番号 |
| 5H |
| セッション名 |
| 画像認識 |
| 講演日 |
| 2009/09/03 |
| 講演場所(会議室等) |
| H会場（9号館2F 923教室） |
| 講演番号 |
| H-005 |
| タイトル |
| On Using DTW and Multiple Fusion Strategy for Optimizing Dissimilarity-Based Classification |
| 著者名 |
| Kim Sang-Woon, Kim Seunghwan, |
| キーワード |
| Dissimilarity-Based Classification, DTW (dynamic time warping), Multiple Fusion Strategy |
| 抄録 |
| In image classification tasks, such as face recognition, one of the most intractable problems is the distortion and lack of information caused by the differences in face directions and sizes. To overcome this problem, we employ a way of measuring the dissimilarity distance between two images of an object using a dynamic programming technique, such as dynamic time warping. On the other hand, to increase the classification accuracy of DBCs furthermore, we also use a method of simultaneously employing multiple fusion strategies in representing features as well as in designing classifiers. |
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