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Learning Representation for Multi-View Data Analysis : Models and Applications / by Zhengming Ding, Handong Zhao, Yun Fu

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advanced Information and Knowledge Processing | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2019Description: Online-Ressource (X, 268 p. 76 illus., 69 illus. in color, online resource)ISBN:
  • 9783030007348
Subject(s): Additional physical formats: 9783030007331 | 9783030007355 | Erscheint auch als: 978-3-030-00733-1 Druck-Ausgabe | Printed edition: 9783030007331 | Printed edition: 9783030007355 DDC classification:
  • 006.312
LOC classification:
  • QA76.9.D343
DOI: DOI: 10.1007/978-3-030-00734-8Online resources: 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 visionSummary: Introduction -- Multi-view Clustering with Complete Information -- Multi-view Clustering with Partial Information -- Multi-view Outlier Detection -- Multi-view Transformation Learning -- Zero-Shot Learning -- Missing Modality Transfer Learning -- Deep Domain Adaptation -- Deep Domain GeneralizationPPN: PPN: 1045547042Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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