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Learning Representation for Multi-View Data Analysis: Models and Applications eBook
$139.00 Original price was: $139.00.$30.00Current price is: $30.00.
By: Zhengming Ding; Handong Zhao; Yun Fu
Publisher: Springer
Print ISBN: 9783030007331, 3030007332
eText ISBN: 9783030007348, 3030007340
Copyright year: 2019
Format: Reflowable
eText ISBN: 9783030007348
SKU: 9783030007348
Category: Trending
Tags: Computers, Intelligence (AI) & Semantics
Print ISBN: 9783030007331
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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