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Low-Rank and Sparse Modeling for Visual Analysis

by Yun Fu
Save 35% Save 35%
Current price ₹7,345.00
Original price ₹11,299.00
Original price ₹11,299.00
Original price ₹11,299.00
(-35%)
₹7,345.00
Current price ₹7,345.00

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Book cover type: Hardcover
  • ISBN13: 9783319119991
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 236
  • Original Price: EUR 99.99
  • Language: English
  • Edition: 2014
  • Item Weight: 522 grams
  • BISAC Subject(s): Software Development & Engineering / Computer Graphics, Electronics / General, and Artificial Intelligence / Computer Vision & Pattern Recognition

From the Back Cover

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding, and learning among unconstrained visual data. Included in the book are chapters covering multiple emerging topics in this new field. The text links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. This book contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.

- Covers the most state-of-the-art topics of sparse and low-rank modeling

- Examines the theory of sparse and low-rank analysis to the real-world practice of sparse and low-rank analysis

- Contributions from top experts voicing their unique perspectives included throughout

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

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