| Presentation | 2003/3/8 On Characteristics of Dissimilarity Measures for Multiscale Matching Shoji HIRANO, Shusaku TSUMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents some properties of the dissimilarity measures used in the multiscale matching. Multiscale matching is a method to compare planar curves by partly changing observation scales. For the multiscale comparison of one-dimensional temporal sequences, we proposed the dissimilarity measure of subsequences consists of four components, that are, rotation angle, length, phase and gradient. On the synthetic data, we empirically examined contribution of the four components to the resultant dissimilarity between subsequences. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multiscale matching / temporal data mining / proximity measure |
| Paper # | AI2002-90 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2003/3/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On Characteristics of Dissimilarity Measures for Multiscale Matching |
| Sub Title (in English) | |
| Keyword(1) | multiscale matching |
| Keyword(2) | temporal data mining |
| Keyword(3) | proximity measure |
| 1st Author's Name | Shoji HIRANO |
| 1st Author's Affiliation | Department of Medical Informatics, Shimane Medical University, School of Medicine() |
| 2nd Author's Name | Shusaku TSUMOTO |
| 2nd Author's Affiliation | Department of Medical Informatics, Shimane Medical University, School of Medicine |
| Date | 2003/3/8 |
| Paper # | AI2002-90 |
| Volume (vol) | vol.102 |
| Number (no) | 711 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |