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 Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Yongzhen Huang; Tieniu Tan Название: Feature Coding for Image Representation and Recognition ISBN: 3662449994 ISBN-13(EAN): 9783662449998 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline.
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 Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers;
Автор: Yun Fu Название: Low-Rank and Sparse Modeling for Visual Analysis ISBN: 3319119990 ISBN-13(EAN): 9783319119991 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Rongrong Ji Название: Learning-Based Local Visual Representation and Indexing ISBN: 0128024097 ISBN-13(EAN): 9780128024096 Издательство: Elsevier Science Рейтинг: Цена: 5051.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Petra Perner Название: Machine Learning and Data Mining in Pattern Recognition ISBN: 3319624156 ISBN-13(EAN): 9783319624150 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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