Low-Rank and Sparse Modeling for Visual Analysis

Häftad, Engelska, 2016

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Beskrivning

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.

Produktinformation

Utgivningsdatum:2016-10-01
Mått:155 x 235 x 14 mm
Vikt:376 g
Format:Häftad
Språk:Engelska
Antal sidor:236
Förlag:Springer International Publishing AG
ISBN:9783319355672

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Mer om författaren

Yun Fu is an Assistant Professor, ECE and CS, Northeastern University

Innehållsförteckning

Nonlinearly Structured Low-Rank Approximation.- Latent Low-Rank Representation.- Scalable Low-Rank Representation.- Low-Rank and Sparse Dictionary Learning.- Low-Rank Transfer Learning.- Sparse Manifold Subspace Learning.- Low Rank Tensor Manifold Learning.- Low-Rank and Sparse Multi-Task Learning.- Low-Rank Outlier Detection.- Low-Rank Online Metric Learning.