Sparse Representation, Modeling and Learning in Visual Recognition

Name: Sparse Representation, Modeling and Learning in Visual Recognition
Brand: Springer London Ltd
SKU: 9781447172512
Price: 2286 CZK
Availability: InStock

Theory, Algorithms and Applications

Autor: Hong Cheng

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer London Ltd

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 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 - Brožovaná

Vydáno

2016

Stránek

257

EAN

9781447172512

ISBN

1447172515

Enbook ID

15175295

Vydavatel

Springer London Ltd

Hmotnost

4161

Rozměry

155 x 235 x 14

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

Informace o knize

Kompletní popis

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