Human Action Analysis with Randomized Trees (SpringerBriefs in Electrical and Computer Engineering) - Softcover
Synopsis
This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
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Human Action Analysis with Randomized Trees
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Springer Nature Singapore Aug 2014, 2014
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting. 92 pp. Englisch. Seller Inventory # 9789812871664
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Human Action Analysis with Randomized Trees
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Step-by-step introduction to help the readers understand the topic of human action analysisPresents one basic algorithm that can used in various applicationsPractical examples and applications will be presentedCovers the most recent . Seller Inventory # 5843102
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Human Action Analysis with Randomized Trees
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Springer Nature Singapore, Springer Nature Singapore Aug 2014, 2014
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch. Seller Inventory # 9789812871664
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Human Action Analysis with Randomized Trees
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Springer Nature Singapore, Springer Nature Singapore, 2014
ISBN 10: 9812871667
ISBN 13: 9789812871664
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting. Seller Inventory # 9789812871664