Książka Sparse Representation, Modeling and Learning in Visual Recognition Hong Cheng

Sparse Representation, Modeling and Learning in Visual Recognition

Theory, Algorithms and Applications

Autor: Hong Cheng
Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
425.66
This unique text/reference presents a comprehensive review of the state of the art in sparse represe...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2015
strony
257
EAN
9781447167136
ISBN
1447167139
Enbook ID
09255543
Waga
5325
Wymiary
155 x 235 x 243

Pełny opis

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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