Orthogonal incremental non-negative matrix factorization algorithm and its application in image classification

DOI10.1007/s40314-020-1091-2zbMath1449.68062OpenAlexW3004442284MaRDI QIDQ2176194

Liuhong Luo, Shaodi Ge, Hong Jun Li

Publication date: 4 May 2020

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-020-1091-2

zbMATH Keywords

incremental learningimage classificationsparsenessorthogonality constraintsnon-negative factorization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Factorization of matrices (15A23) Image analysis in multivariate analysis (62H35) Learning and adaptive systems in artificial intelligence (68T05) Approximation algorithms (68W25)

Cites Work

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• Incremental subspace learning via non-negative matrix factorization
• Incremental graph regulated nonnegative matrix factorization for face recognition
• Richtungsfelder und Fernparallelismus in \(n\)-dimensionalen Mannigfaltigkeiten
• The Geometry of Algorithms with Orthogonality Constraints
• Learning the parts of objects by non-negative matrix factorization
• Independent Component Analysis and Blind Signal Separation

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