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Low-Rank and Sparse Modeling for Visual Analysis

  • Erscheinungsdatum: 30.10.2014
  • Verlag: Springer-Verlag
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Low-Rank and Sparse Modeling for Visual Analysis

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. Yun Fu is an Assistant Professor, ECE and CS, Northeastern University

Produktinformationen

    Format: PDF
    Kopierschutz: AdobeDRM
    Seitenzahl: 236
    Erscheinungsdatum: 30.10.2014
    Sprache: Englisch
    ISBN: 9783319120003
    Verlag: Springer-Verlag
    Größe: 7228kBytes
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