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

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
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Цена: 69870.00 T
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: Yun Fu
Название: Low-Rank and Sparse Modeling for Visual Analysis
ISBN: 3319119990 ISBN-13(EAN): 9783319119991
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.

Автор: Yun Fu
Название: Low-Rank and Sparse Modeling for Visual Analysis
ISBN: 3319355678 ISBN-13(EAN): 9783319355672
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.

Автор: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319113240 ISBN-13(EAN): 9783319113241
Издательство: Springer
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Цена: 121890.00 T
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Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Автор: Yongzhen Huang; Tieniu Tan
Название: Feature Coding for Image Representation and Recognition
ISBN: 3662449994 ISBN-13(EAN): 9783662449998
Издательство: Springer
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Цена: 46570.00 T
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Описание: This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline.

Автор: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319358626 ISBN-13(EAN): 9783319358628
Издательство: Springer
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Цена: 95770.00 T
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Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Автор: Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319419196 ISBN-13(EAN): 9783319419190
Издательство: Springer
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Цена: 89440.00 T
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Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Автор: Rongrong Ji
Название: Learning-Based Local Visual Representation and Indexing
ISBN: 0128024097 ISBN-13(EAN): 9780128024096
Издательство: Elsevier Science
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Цена: 33670.00 T
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Описание: Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques.

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319624156 ISBN-13(EAN): 9783319624150
Издательство: Springer
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Цена: 65210.00 T
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Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Автор: Pedro Latorre Carmona; J. Salvador S?nchez; Ana L.
Название: Mathematical Methodologies in Pattern Recognition and Machine Learning
ISBN: 1493900927 ISBN-13(EAN): 9781493900923
Издательство: Springer
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Цена: 102480.00 T
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Описание: This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012.

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319210238 ISBN-13(EAN): 9783319210230
Издательство: Springer
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Цена: 59630.00 T
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Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.