Incremental subspace learning via non-negative matrix factorization

DOI10.1016/j.patcog.2008.09.002zbMath1178.68395OpenAlexW1969900471MaRDI QIDQ1010086

Bilge Gunsel, Serhat S. Bucak

Publication date: 3 April 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.09.002

zbMATH Keywords

clusteringnon-negative matrix factorizationincremental subspace learningstatistical background modelingvideo content representation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Data structures (68P05)

Related Items (5)

Orthogonal incremental non-negative matrix factorization algorithm and its application in image classification ⋮ Double indices-induced FCM clustering and its integration with fuzzy subspace clustering ⋮ Renewable composite quantile method and algorithm for nonparametric models with streaming data ⋮ Nonlinear nonnegative matrix factorization based on Mercer kernel construction ⋮ Incremental graph regulated nonnegative matrix factorization for face recognition

Cites Work

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• Principal component analysis.
• On incremental and robust subspace learning
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization

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