Feature Hashing
Feature Hashing is a dimensionality reduction technique in domain-specific feature design that maps high-cardinality categorical features into a fixed-size vector space using a hash function, thereby enabling efficient feature transformation while preserving computational scalability.
175
Publications
11.9K
Citations
567
Authors
229
Institutions
Publications per year
2017–2026
97
175
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara, José Eusébio, Shayok Chakraborty et al. · 2017 · 2K citations
Feature hashing for large scale multitask learning
Kilian Q. Weinberger, Anirban Dasgupta, John Langford et al. · 2009 · 937 citations
Multiple feature hashing for real-time large scale near-duplicate video retrieval
Jingkuan Song, Yi Yang, Zi Huang et al. · 2011 · 345 citations
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229

University of Electronic Science and Technology of China
Chengdu, China
8 h-index
20 publications
786 citations

Guangxi Normal University
Guilin, China
8 h-index
28 publications
1.9K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
24 publications
824 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
13 publications
555 citations
Columbia University
New York, United States
6 h-index
9 publications
899 citations

Beihang University
Beijing, China
6 h-index
12 publications
744 citations

The University of Queensland
Brisbane, Australia
5 h-index
12 publications
2.2K citations
Northumbria University
Newcastle upon Tyne, United Kingdom
4 h-index
9 publications
519 citations
1–8 of 229
Repository · 10 publications · 203 citations
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7 publications · 606 citations
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4 publications · 135 citations
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5 publications · 532 citations
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5 publications · 118 citations
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