Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation Научная публикация

Журнал	Lecture Notes in Computer Science ISSN: 0302-9743 , E-ISSN: 1611-3349
Вых. Данные	Год: 2021, Страницы: 447-461 Страниц : 15 DOI: 10.1007/978-3-030-77876-7_30
Ключевые слова	Cluster ensemble; Co-association matrix; Low-rank matrix decomposition; Manifold regularization; Weakly supervised learning
Авторы	Berikov Vladimir 1,2 , Litvinenko Alexander 3
Организации	1 Sobolev Institute of Mathematics 2 Novosibirsk State University, Novosibirsk, Russian Federation 3 RWTH Aachen, Aachen, Germany