Semantic Hashing
Semantic Hashing is a dimensionality reduction technique in text representation that maps high-dimensional semantic information of documents into compact binary codes such that semantically similar documents are represented by similar hash codes.
188
Publications
13.8K
Citations
597
Authors
218
Institutions
Publications per year
2017–2026
141
Parents
188
Yair Weiss, Antonio Torralba, Rob Fergus · neural information processing systems · 2008 · 2.1K citations
Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis, Trevor Darrell · UC Berkeley · 2009 · 811 citations
Semantics-preserving hashing for cross-view retrieval
Zijia Lin, Guiguang Ding, Mingqing Hu et al. · 2015 · 567 citations
1–5 of 188
597
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University of Electronic Science and Technology of China, China
6 publications · 363 citations
6
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1–5 of 597
218

Chinese Academy of Sciences
Beijing, China
16 h-index
39 publications
2.7K citations

University of Electronic Science and Technology of China
Chengdu, China
14 h-index
30 publications
2.1K citations
Nanjing University of Science and Technology
Nanjing, China
12 h-index
27 publications
1.7K citations

Xidian University
Xi'an, China
12 h-index
36 publications
2.8K citations

Harbin Institute of Technology
Harbin, China
11 h-index
31 publications
2.4K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
20 publications
1.2K citations
Tsinghua University
Beijing, China
9 h-index
26 publications
3.4K citations

Peking University
Beijing, China
9 h-index
15 publications
652 citations
1–8 of 218
14 publications · 380 citations
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14 publications · 1.1K citations
13
h-index
11 publications · 566 citations
11
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10 publications · 594 citations
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8 publications · 507 citations
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