Face clustering via learning a sparsity preserving low-rank graph
Face clustering via learning a sparsity preserving low-rank graph
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Publisher
New York: Springer US
Journal title
Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Face clustering aims to group the face images without any label information into clusters, and has recently attracted considerable attention in machine learning and data mining. Many graph based clustering methods have been proposed and among which sparse representation (SR) and low-rank representation (LRR) are two representative methods for affin...
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Full title
Face clustering via learning a sparsity preserving low-rank graph
Authors, Artists and Contributors
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Record Identifier
TN_cdi_crossref_primary_10_1007_s11042_020_09392_6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s11042_020_09392_6
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-020-09392-6
