Subspace Filtering
Subspace Filtering is a data filtering methodology that operates within a reduced-dimensional space—formed by selecting or transforming a subset of features or variables—to enhance the relevance and accuracy of results by focusing on specific subspaces of the overall data structure.
269
Publications
15.4K
Citations
644
Authors
318
Institutions
Publications per year
2017–2026
39
Parents
269
1–5 of 269
644
Science Applications International Corporation (United States), United States
6 publications · 1.7K citations
6
h-index
5
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5
h-index
5
h-index
4
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1–5 of 644
318

Xidian University
Xi'an, China
10 h-index
27 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
14 publications
512 citations

National University of Defense Technology
Changsha, China
6 h-index
16 publications
585 citations
Northwestern University
Evanston, United States
6 h-index
12 publications
1.7K citations

The University of Melbourne
Melbourne, Australia
6 h-index
13 publications
915 citations
University of Science and Technology of China
Hefei, China
6 h-index
12 publications
554 citations

Télécom Paris
Palaiseau, France
6 h-index
9 publications
335 citations
KU Leuven
Leuven, Belgium
5 h-index
9 publications
334 citations
1–8 of 318
34 publications · 2.2K citations
23
h-index
16 publications · 1.2K citations
12
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9 publications · 469 citations
8
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5 publications · 139 citations
5
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4 publications · 166 citations
4
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1–5