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Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation Full article

Journal Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349
Output data Year: 2021, Pages: 447-461 Pages count : 15 DOI: 10.1007/978-3-030-77876-7_30
Tags Cluster ensemble; Co-association matrix; Low-rank matrix decomposition; Manifold regularization; Weakly supervised learning
Authors Berikov Vladimir 1,2 , Litvinenko Alexander 3
Affiliations
1 Sobolev Institute of Mathematics
2 Novosibirsk State University, Novosibirsk, Russian Federation
3 RWTH Aachen, Aachen, Germany
Cite: Berikov V. , Litvinenko A.
Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation
Lecture Notes in Computer Science. 2021. P.447-461. DOI: 10.1007/978-3-030-77876-7_30 Scopus OpenAlex
Identifiers:
Scopus: 2-s2.0-85111359382
OpenAlex: W3168646085
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OpenAlex 5
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