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 dictionary. A rational behind this is the sparse… (More)
DOI: 10.1016/j.sigpro.2012.09.011


Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.


Citations per Year

97 Citations

Semantic Scholar estimates that this publication has 97 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics