Sparse Representation, Modeling and Learning in Visual Recognition

Name: Sparse Representation, Modeling and Learning in Visual Recognition
Brand: Springer London Ltd
SKU: 9781447172512
Price: 105.43 EUR
Availability: InStock

Theory, Algorithms and Applications

Автор: Hong Cheng

Език:

Корици: С меки корици

Издател: Springer London Ltd

Наличност: Външен склад

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105.43 € 206.21 лв

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

Информация за книгата

Автор

Hong Cheng

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

257

EAN

9781447172512

ISBN

1447172515

Enbook ID

15175295

Издател

Springer London Ltd

Теглоt

4161

Размери

155 x 235 x 14

Пълно описание

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

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също