Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)

Zhengming Ding, Handong Zhao, Yun Fu

  • 出版商: Springer
  • 出版日期: 2018-12-17
  • 售價: $4,970
  • 貴賓價: 9.5$4,722
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Hardcover
  • ISBN: 3030007332
  • ISBN-13: 9783030007331
  • 相關分類: 資料科學
  • 下單後立即進貨 (約1週~2週)

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商品描述

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.