Learning Representation for Multi View Data Analysis is popular PDF and ePub book, written by Zhengming Ding in 2018-12-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Learning Representation for Multi View Data Analysis can be Read Online from any device for your convenience.
Learning Representation for Multi View Data Analysis Book PDF Summary
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.
Detail Book of Learning Representation for Multi View Data Analysis PDF
- Author : Zhengming Ding
- Release : 06 December 2018
- Publisher : Springer
- ISBN : 9783030007348
- Genre : Computers
- Total Page : 268 pages
- Language : English
- PDF File Size : 18,7 Mb
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