Sparsity Priors
Sparsity Prior is a type of prior distribution in Bayesian model building that specifically enforces sparsity by assigning higher probability density to parameter values near zero, thereby distinguishing itself from other priors through its explicit promotion of parsimonious model structures.
556
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36.2K
Citations
1.8K
Authors
668
Institutions
Publications per year
2017–2026
229
556
Robust object tracking via sparsity-based collaborative model
Wei Zhong, Huchuan Lu, Ming–Hsuan Yang · 2012 · 1K citations
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668

Chinese Academy of Sciences
Beijing, China
15 h-index
56 publications
4.2K citations

Xidian University
Xi'an, China
13 h-index
54 publications
2K citations
Tsinghua University
Beijing, China
13 h-index
41 publications
1.5K citations
University College London
London, United Kingdom
13 h-index
44 publications
2.1K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
41 publications
970 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
13 h-index
28 publications
1.3K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
26 publications
5.2K citations

Northwestern Polytechnical University
Xi'an, China
12 h-index
35 publications
1.9K citations
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Repository · 39 publications · 1K citations
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20 publications · 2.2K citations
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19 publications · 3.4K citations
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14 publications · 817 citations
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TPAMI · 10 publications · 2.2K citations
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