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Book 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.

Book details

Book category Books in English Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Full title: Low-Rank and Sparse Modeling for Visual Analysis
• Author: Yun Fu
• Language: English
• Binding: Paperback
• Number of pages: 236
• EAN: 9783319355672
• ISBN: 3319355678
• ID: 13659172
• Publisher: Springer International Publishing AG
• Weight: 3752 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 01. October 2016

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