Presentation | 2010-06-14 All Pairs Similarity Search by Multiple Sorting Koji TSUDA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently it is increasingly common that images and signals are mapped to bit strings called sketches. To build a similarity network necessary for, e.g., semi-supervised learning, it is necessary to find all close pairs in terms of Hamming distance. However, it is too slow to compute all distances and pruning by metricity does not help much. In this presentation, we present the multiple sorting method which combines pattern growth and radix sort. It is shown that it is much faster than cover tree and Lanczos bisection in a large scale image dataset. In this method, the average false negative rate is computable and duplicated discoveries are deliberately avoided. It is possible to generalize the method to edit distance. In an experiment with tens of millions of biological sequences, our method was 20 to 1000 fold faster than suffix-array based methods. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multiple Sorting Method / All Pairs Similarity Search |
Paper # | IBISML2010-2 |
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Committee | IBISML |
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Conference Date | 2010/6/7(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 | Information-Based Induction Sciences and Machine Learning (IBISML) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | All Pairs Similarity Search by Multiple Sorting |
Sub Title (in English) | |
Keyword(1) | Multiple Sorting Method |
Keyword(2) | All Pairs Similarity Search |
1st Author's Name | Koji TSUDA |
1st Author's Affiliation | Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology() |
Date | 2010-06-14 |
Paper # | IBISML2010-2 |
Volume (vol) | vol.110 |
Number (no) | 76 |
Page | pp.pp.- |
#Pages | 1 |
Date of Issue |