K-CPD: Learning of overcomplete dictionaries for tensor sparse coding

Recently sparse coding has received expressions of interest in the field of pattern recognition. Most existing methods take the data-as-vector formulation, and deal with images (the second order tensor) or volumes (the third order tensor) by vectorization. However, such kind of vectorization will lo...

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Veröffentlicht in:	Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) S. 493 - 496
Hauptverfasser:	Guifang Duan, Hongcui Wang, Zhenyu Liu, Junping Deng, Yen-Wei Chen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2012
Schlagworte:	Algorithm design and analysis Dictionaries Encoding Matching pursuit algorithms Sparse matrices Tensile stress Vectors
ISBN:	9781467322164, 1467322164
ISSN:	1051-4651
Online-Zugang:	Volltext
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