Overview
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.The book, Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing) [Bulk, Wholesale, Quantity] ISBN#9783030007331 in Hardcover by Zhengming Ding, Handong Zhao, Yun Fu may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Hardcover
Publication Date:
12/17/2018
ISBN-13:
9783030007331
Pages:
268
Publisher:
Springer International Publishing
