Sparse representation and learning in visual recognition: Theory and applications

Sparse representation and learning has been widely used in computational intelligence, machine learning, computer vision and pattern recognition, etc. Mathematically, solving sparse representation and learning involves seeking the sparsest linear combination of basis functions from an overcomplete d...

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Veröffentlicht in:	Signal processing 2013-06, Vol.93 (6), p.1408-1425
Hauptverfasser:	Cheng, Hong, Liu, Zicheng, Yang, Lu, Chen, Xuewen
Format:	Artikel
Sprache:	eng
Schlagworte:	Basis functions Dictionaries Intelligence Learning Recognition Representations Similarity Sparse representation Sparse subspace learning Sparsity Induced Similarity Structured sparsity Visual Visual recognition
Online-Zugang:	Volltext
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