Sparse Representation, Modeling and Learning in Visual Recognition

Name: Sparse Representation, Modeling and Learning in Visual Recognition
Brand: Springer London Ltd
SKU: 9781447172512
Price: 100.0 EUR
Availability: InStock

Theory, Algorithms and Applications

Autor: Hong Cheng

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer London Ltd

Dostupnosť: Skladom u dodávateľa

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100.00 €

This unique text/reference presents a comprehensive review of the state of the art in sparse represe...

Informácie o knihe

Autor

Hong Cheng

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

257

EAN

9781447172512

ISBN

1447172515

Enbook ID

15175295

Vydavateľ

Springer London Ltd

Hmotnosť

4161

Rozmery

155 x 235 x 14

Kompletný popis

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.

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Sparse Representation, Modeling and Learning in Visual Recognition

Theory, Algorithms and Applications

Informácie o knihe

Kompletný popis

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