Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere-Reference-Cited by-同舟云学术

Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere

Published:2021-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Management of Data
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Author:

Huang Qiang¹,Lei Yifan¹,Tung Anthony K. H.¹

Affiliation:

1. National University of Singapore, Singapore, Singapore

Funder

National Research Foundation Singapore under its Strategic Capability Research Centres Funding Initiative

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448016.3457240

Reference50 articles.

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2. Alexandr Andoni Piotr Indyk Thijs Laarhoven Ilya Razenshteyn and Ludwig Schmidt. 2015. Practical and optimal LSH for angular distance. In NeurIPS. 1225--1233. Alexandr Andoni Piotr Indyk Thijs Laarhoven Ilya Razenshteyn and Ludwig Schmidt. 2015. Practical and optimal LSH for angular distance. In NeurIPS. 1225--1233.

3. Alexandr Andoni and Ilya Razenshteyn. 2015. Optimal data-dependent hashing for approximate near neighbors. In STOC. 793--801. Alexandr Andoni and Ilya Razenshteyn. 2015. Optimal data-dependent hashing for approximate near neighbors. In STOC. 793--801.

4. Martin Aumüller Tobias Christiani Rasmus Pagh and Francesco Silvestri. 2018. Distance-sensitive hashing. In PODS. 89--104. Martin Aumüller Tobias Christiani Rasmus Pagh and Francesco Silvestri. 2018. Distance-sensitive hashing. In PODS. 89--104.

5. Yoram Bachrach Yehuda Finkelstein Ran Gilad-Bachrach Liran Katzir Noam Koenigstein Nir Nice and Ulrich Paquet. 2014. Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces. In RecSys. 257--264. Yoram Bachrach Yehuda Finkelstein Ran Gilad-Bachrach Liran Katzir Noam Koenigstein Nir Nice and Ulrich Paquet. 2014. Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces. In RecSys. 257--264.

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