Sparse Representation, Modeling and Learning in Visual Recognition

Name: Sparse Representation, Modeling and Learning in Visual Recognition
Brand: Springer London Ltd
SKU: 9781447167136
Price: 2286 CZK
Availability: InStock

Theory, Algorithms and Applications

Autor: Hong Cheng

Jazyk:

Vazba: Pevná

Vydavatel: Springer London Ltd

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

2 286 Kč

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

Informace o knize

Autor

Hong Cheng

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2015

Stránek

257

EAN

9781447167136

ISBN

1447167139

Enbook ID

09255543

Vydavatel

Springer London Ltd

Hmotnost

5325

Rozměry

155 x 235 x 243

Kompletní 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

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