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Learning Representation for Multi-View Data Analysis

- Models and Applications
Af: Handong Zhao, Yun Fu, Zhengming Ding Engelsk Hardback

Learning Representation for Multi-View Data Analysis

- Models and Applications
Af: Handong Zhao, Yun Fu, Zhengming Ding Engelsk Hardback
Tjek vores konkurrenters priser

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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 268
ISBN-13: 9783030007331
Indbinding: Hardback
Udgave:
ISBN-10: 3030007332
Udg. Dato: 17 dec 2018
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 17 dec 2018
Forfatter(e) Handong Zhao, Yun Fu, Zhengming Ding


Kategori Ekspert - og vidensbaserede systemer


ISBN-13 9783030007331


Sprog Engelsk


Indbinding Hardback


Sider 268


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 17 dec 2018


Oplagsdato 17 dec 2018


Forlag Springer Nature Switzerland AG