Publication details

Pivot Selection for Narrow Sketches by Optimization Algorithms

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NAOYA Higuchi YASUNOBU Imamura MÍČ Vladimír TAKESHI Shinohara KOUICHI Hirata TETSUJI Kuboyama

Year of publication 2020
Type Article in Proceedings
Conference Similarity Search and Applications: 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings
MU Faculty or unit

Faculty of Informatics

Keywords Bit-string Sketch;Pivot Selection;Optimisation
Description Sketches are compact bit strings that are considered as products of an LSH for high-dimensional data. We use them in filtering for narrowing down solution candidates in similarity search. We propose a pivot selection method for narrow sketches with a length such as 16-bits by optimization algorithms with the accuracy of filtering itself as the objective function.
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