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Sparse representation, modeling and learning in visual recognition. Theory, algorithms and applications

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Publication:886987
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DOI10.1007/978-1-4471-6714-3zbMath1329.68007OpenAlexW2500830883MaRDI QIDQ886987

Hong Cheng

Publication date: 27 October 2015

Published in: Advances in Computer Vision and Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4471-6714-3


zbMATH Keywords

computer visionsparse representationcompressed sensingsparse learningsparse modellingvisual recognition


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Machine vision and scene understanding (68T45)


Related Items (2)

A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions ⋮ A preconditioning approach for improved estimation of sparse polynomial chaos expansions




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