Presentation | 2005-06-16 An Efficient Segment Searching Method Using Geometrical Properties of Output Probability Sequence Masahide SUGIYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Several studies on efficient segment searching have been carried out. This report describes a new efficient segment searching method based on geometrical properties of output probability time series and evaluates the effectiveness through searching experiments. The proposed pruning method is based on the property of triangle inequality for mathematical distance. The efficient searching is implemented using a distance matrix between representatives generated by segmentation and clustering of time series. The experimental results show that the proposed method runs abount 26 to 36 times faster than the conventional Active searching, and a combination of the proposed method and binary searching achieves much faster. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Segment search / Binary search / Time series segmentation / output probability / VQ |
Paper # | DE2005-1,PRMU2005-22 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2005/6/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Efficient Segment Searching Method Using Geometrical Properties of Output Probability Sequence |
Sub Title (in English) | |
Keyword(1) | Segment search |
Keyword(2) | Binary search |
Keyword(3) | Time series segmentation |
Keyword(4) | output probability |
Keyword(5) | VQ |
1st Author's Name | Masahide SUGIYAMA |
1st Author's Affiliation | Graduate School of Computer Science and Engineering, The Univ. of Aizu() |
Date | 2005-06-16 |
Paper # | DE2005-1,PRMU2005-22 |
Volume (vol) | vol.105 |
Number (no) | 118 |
Page | pp.pp.- |
#Pages | 6 |
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