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 |
|
||||||
Affiliations |
|
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
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 |