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Low-Rank and Sparse Modeling for Visual Analysis

Yun Fu
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      This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.
      Format: Paperback / softback CONTRIBUTORS: Yun Fu EAN: 9783319355672 COUNTRY: Switzerland PAGES: WEIGHT: 3752 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-10-01 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, TECHNOLOGY & ENGINEERING / Electronics / General WIDTH: 155 cm SPINE:

      Book Themes:

      Electronics engineering, Computer vision, Digital signal processing (DSP), Image processing

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      Yun Fu is an Assistant Professor, ECE and CS, Northeastern University
      This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.
      Format: Paperback / softback CONTRIBUTORS: Yun Fu EAN: 9783319355672 COUNTRY: Switzerland PAGES: WEIGHT: 3752 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-10-01 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, TECHNOLOGY & ENGINEERING / Electronics / General WIDTH: 155 cm SPINE:

      Book Themes:

      Electronics engineering, Computer vision, Digital signal processing (DSP), Image processing

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
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      Yun Fu is an Assistant Professor, ECE and CS, Northeastern University

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