Low-Rank and Sparse Modeling for Visual Analysis - Rilegato

 
9783319119991: Low-Rank and Sparse Modeling for Visual Analysis
Rilegato
ISBN 10: 3319119990 ISBN 13: 9783319119991
Casa editrice: Springer-Nature New York Inc, 2014

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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

Dalla quarta di copertina

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

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2014
Lingua
Inglese
ISBN 10 
3319119990
ISBN 13 
9783319119991
Rilegatura
Copertina rigida
Numero di pagine
236
Redattore
Fu Yun
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Germania

Altre edizioni note dello stesso titolo

9783319355672: Low-Rank and Sparse Modeling for Visual Analysis

Edizione in evidenza

ISBN 10:  3319355678 ISBN 13:  9783319355672
Casa editrice: Springer, 2016
Brossura