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Robust Representation for Data Analytics: Models and Applications

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Robust Representation for Data Analytics: Models and Applications - Li, Sheng, and Fu, Yun
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This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace, and dictionary.Leveraging the theory of low-rank and sparse modeling, the authors develop robust feature representations under ...

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Robust Representation for Data Analytics: Models and Applications 2018, Springer International Publishing AG, Cham

ISBN-13: 9783319867960

Paperback

Robust Representation for Data Analytics: Models and Applications 2017, Springer, Cham

ISBN-13: 9783319601755

2017 edition

Hardcover