LOW-RANK AND SPARSE MODELING FOR VISUAL ANALYSIS by Yun Fu (Editor) ( 9783319119991 )

Item Details

Title:

LOW-RANK AND SPARSE MODELING FOR VISUAL ANALYSIS

By:

Format:

Hardback

List price:	£99.99
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ISBN 10:

3319119990

ISBN 13:

9783319119991

Publisher:

SPRINGER INTERNATIONAL PUBLISHING AG

Pub. date:

30 October, 2014

Edition:

2014 ed.

Pages:

236

Description:

Low-Rank and Sparse Modeling for Visual Analysis

Synopsis:

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.

Illustrations:

32 Tables, black and white; 51 Illustrations, color; 15 Illustrations,

Publication:

Switzerland

Imprint:

Springer International Publishing AG

Returns:

Non-returnable

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