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Why locality sensitive hashing works: A practical perspective.

, , , и . Inf. Process. Lett., (2018)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylation. Uni Marburg, (2009)

Qi Wang

Shifeng Wang

Li Wang

 

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Locality sensitive hashing revisited: filling the gap between theory and algorithm analysis., , , и . CIKM, стр. 1969-1978. ACM, (2013)A feature interaction learning approach for crowdfunding project recommendation., , , , и . Appl. Soft Comput., (2021)Deep Semantic Adversarial Hashing Based on Autoencoder for Large-Scale Cross-Modal Retrieval., и . ICME Workshops, стр. 1-6. IEEE, (2020)SETJoin: a novel top-k similarity join algorithm., , и . Soft Comput., 24 (19): 14577-14592 (2020)Stock Technical Analysis System Based on Real-Time Stream Processing., , , , и . ISCID (2), стр. 373-377. IEEE, (2017)ENRS: An Effective Recommender System Using Bayesian Model., , , , и . DASFAA (2), том 9050 из Lecture Notes in Computer Science, стр. 531-535. Springer, (2015)Approximate Nearest Neighbor Search Using Query-Directed Dense Graph., , , , и . DASFAA (Workshops), том 12680 из Lecture Notes in Computer Science, стр. 429-444. Springer, (2021)DASH: Data Aware Locality Sensitive Hashing., , , и . APWeb/WAIM (2), том 13422 из Lecture Notes in Computer Science, стр. 85-100. Springer, (2022)Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation., , , , и . LREC/COLING, стр. 358-371. ELRA and ICCL, (2024)A Unified Framework for Processing Exact and Approximate Top-k Set Similarity Join., , , и . APWeb/WAIM (2), том 12318 из Lecture Notes in Computer Science, стр. 425-440. Springer, (2020)