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ORCIDLow-Rank and Sparse Modeling for Visual Analysis 2014
- Yun Fu:
Low-Rank and Sparse Modeling for Visual Analysis. Springer 2014, ISBN 978-3-319-11999-1 - Ivan Markovsky, Konstantin Usevich:
Nonlinearly Structured Low-Rank Approximation. 1-22 - Guangcan Liu, Shuicheng Yan:
Latent Low-Rank Representation. 23-38 - Guangcan Liu, Shuicheng Yan:
Scalable Low-Rank Representation. 39-60 - Sheng Li, Liangyue Li, Yun Fu:
Low-Rank and Sparse Dictionary Learning. 61-85 - Ming Shao, Dmitry Kit, Yun Fu:
Low-Rank Transfer Learning. 87-115 - Ming Shao, Mingbo Ma, Yun Fu:
Sparse Manifold Subspace Learning. 117-132 - Guoqiang Zhong, Mohamed Cheriet:
Low Rank Tensor Manifold Learning. 133-150 - Jianhui Chen, Jiayu Zhou, Jieping Ye:
Low-Rank and Sparse Multi-task Learning. 151-180 - Sheng Li, Ming Shao, Yun Fu:
Low-Rank Outlier Detection. 181-202 - Yang Cong, Ji Liu, Junsong Yuan
, Jiebo Luo:
Low-Rank Online Metric Learning. 203-233
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