Low-rank matrix factorization with multiple hypergraph regularizer

DOI10.1016/j.patcog.2014.09.002zbMath1373.68323OpenAlexW1994761691MaRDI QIDQ1677212

Cuihua Li, Jun Yu, Taisong Jin, Kun Zeng, Jane You, Zhengtao Yu

Publication date: 10 November 2017

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.09.002

zbMATH Keywords

manifoldhypergraphmatrix factorizationalternating optimization

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Hypergraphs (05C65)

Related Items (5)

Adaptive robust principal component analysis ⋮ Revisiting the low-rank eigenvalue problem ⋮ Robust \(\ell_2\)-hypergraph and its applications ⋮ Link-aware semi-supervised hypergraph ⋮ Nonnegative matrix factorization with Hessian regularizer

Cites Work

• Multiple graph regularized nonnegative matrix factorization
• Using underapproximations for sparse nonnegative matrix factorization
• Image clustering based on sparse patch alignment framework
• Click Prediction for Web Image Reranking Using Multimodal Sparse Coding
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Cursive character recognition by learning vector quantization
• Learning the parts of objects by non-negative matrix factorization
• Adaptive Hypergraph Learning and its Application in Image Classification
• Nonnegative Local Coordinate Factorization for Image Representation

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