In this paper we analyze the basic hash functions needed for the applications of similarity estimation and FH. This is important for two reasons: 1) As ...
Nov 23, 2017 · In this paper we focus on two prominent applications of hashing, namely similarity estimation with the one permutation hashing (OPH) scheme of Li et al.
Hashing is a basic tool for dimensionality reduction employed in several aspects of machine learning. However, the perfomance analysis is often carried out ...
An experimental comparison of different hashing schemes when used inside FH, OPH, and LSH finds that mixed tabulation hashing is almost as fast as the ...
Nov 23, 2017 · In this paper we analyze the basic hash functions needed for the applications of similarity estimation and FH. This is important for two reasons ...
Sep 7, 2024 · Hashing is a basic tool for dimensionality reduction employed in several aspects of machine learning. However, the perfomance analysis is ...
The paper looks into a very basic and important area of the choice of hash functions for feature hashing and densified one permutation hashing.
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Aug 13, 2018 · Bibliographic details on Practical Hash Functions for Similarity Estimation and Dimensionality Reduction.
This is the code for the paper "Practical Hash Functions for Similarity Estimation and Dimensionality Reduction" at NIPS'17. The code is written in C++ and ...
Practical hash functions for similarity estimation and dimensionality reduction ; Neural Information Processing Systems 2017 · I. Guyon, U. V. Luxburg, S. Bengio, ...