NAOYA, Higuchi, Imamura YASUNOBU, Vladimír MÍČ, Shinohara TAKESHI, Hirata KOUICHI a Kuboyama TETSUJI. Pivot Selection for Narrow Sketches by Optimization Algorithms. In Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór JónssonRasmus Pagh. Similarity Search and Applications: 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings. Cham: Springer, 2020, s. 33-46. ISBN 978-3-030-60935-1. Dostupné z: https://dx.doi.org/10.1007/978-3-030-60936-8_3. |
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@inproceedings{1686165, author = {Naoya, Higuchi and Yasunobu, Imamura and Míč, Vladimír and Takeshi, Shinohara and Kouichi, Hirata and Tetsuji, Kuboyama}, address = {Cham}, booktitle = {Similarity Search and Applications: 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings}, doi = {http://dx.doi.org/10.1007/978-3-030-60936-8_3}, editor = {Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór JónssonRasmus Pagh}, keywords = {Bit-string Sketch;Pivot Selection;Optimisation}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Cham}, isbn = {978-3-030-60935-1}, pages = {33-46}, publisher = {Springer}, title = {Pivot Selection for Narrow Sketches by Optimization Algorithms}, url = {https://link.springer.com/chapter/10.1007/978-3-030-60936-8_3}, year = {2020} }
TY - JOUR ID - 1686165 AU - Naoya, Higuchi - Yasunobu, Imamura - Míč, Vladimír - Takeshi, Shinohara - Kouichi, Hirata - Tetsuji, Kuboyama PY - 2020 TI - Pivot Selection for Narrow Sketches by Optimization Algorithms PB - Springer CY - Cham SN - 9783030609351 KW - Bit-string Sketch;Pivot Selection;Optimisation UR - https://link.springer.com/chapter/10.1007/978-3-030-60936-8_3 L2 - https://link.springer.com/chapter/10.1007/978-3-030-60936-8_3 N2 - 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. ER -
NAOYA, Higuchi, Imamura YASUNOBU, Vladimír MÍČ, Shinohara TAKESHI, Hirata KOUICHI a Kuboyama TETSUJI. Pivot Selection for Narrow Sketches by Optimization Algorithms. In Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór JónssonRasmus Pagh. \textit{Similarity Search and Applications: 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings}. Cham: Springer, 2020, s.~33-46. ISBN~978-3-030-60935-1. Dostupné z: https://dx.doi.org/10.1007/978-3-030-60936-8\_{}3.
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