Subspace Learning
Subspace Learning is a dimensionality reduction technique that identifies a lower-dimensional linear or nonlinear subspace within the original high-dimensional data space by preserving intrinsic structural relationships among data points.
3K
Publications
219.6K
Citations
6.8K
Authors
1.6K
Institutions
Publications per year
2017–2026
1.2K
Variants
Subspace Analysis
3K
Dimensionality Reduction by Learning an Invariant Mapping
Raia Hadsell, Sumit Chopra, Yann LeCun · 2006 · 5.2K citations · Full text
Face recognition using Laplacianfaces
Xiaofei He, Shuicheng Yan, Yuxiao Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 3.3K citations
1–5 of 3K
6.8K
32
h-index
28
h-index
26
h-index
25
h-index
23
h-index
1–5 of 6.8K
1.6K

Chinese Academy of Sciences
Beijing, China
50 h-index
214 publications
21.2K citations
National University of Singapore
Singapore, Singapore
39 h-index
109 publications
18.8K citations

Harbin Institute of Technology
Harbin, China
38 h-index
136 publications
8.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
36 h-index
116 publications
19.7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
35 h-index
85 publications
6.2K citations
Nanjing University of Science and Technology
Nanjing, China
33 h-index
141 publications
6.7K citations
Nanyang Technological University
Singapore, Singapore
33 h-index
90 publications
7.1K citations
Tsinghua University
Beijing, China
30 h-index
174 publications
8K citations
1–8 of 1.6K
92 publications · 8.1K citations
49
h-index
86 publications · 5.9K citations
47
h-index
103 publications · 6.4K citations
42
h-index
TPAMI · 66 publications · 17.6K citations
40
h-index
89 publications · 6.1K citations
38
h-index
1–5