Learning Representation for Multi-view Data Analysis - Couverture rigide

Livre 58 sur 66: Advanced Information and Knowledge Processing

Ding, Zhengming; Zhao, Handong; Fu, Yun

 
9783030007331: Learning Representation for Multi-view Data Analysis
Couverture rigide
ISBN 10 : 3030007332 ISBN 13 : 9783030007331
Editeur : Springer Nature Switzerland AG, 2018

Synopsis

This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers' understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.

A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2018
Langue
anglais
ISBN 10 
3030007332
ISBN 13 
9783030007331
Reliure
Relié
Nombre de pages
268
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Allemagne