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: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 8-11 dni
423.49
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 - Miękka
Data wydania
2016
strony
257
EAN
9781447172512
ISBN
1447172515
Enbook ID
15175295
Waga
4161
Wymiary
155 x 235 x 14

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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