Produktbild: Graph Embedding for Pattern Analysis

Graph Embedding for Pattern Analysis

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106,99 €

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ISBN: 1489990623
ISBN 13: 9781489990624
Herausgeber: Yun Fu/Yunqian Ma
Verlag: Springer Verlag GmbH
Umfang: viii, 260 S.
Erscheinungsdatum: 13.12.2014
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

Graph Embedding for Pattern Analysis covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Artikelnummer: 7551830 Kategorie:

Beschreibung

Autorenporträt

Dr. Yun Fu is a professor at the State University of New York at Buffalo Dr. Yunqian Ma is a senior principal research scientist of Honeywell Labs at the Honeywell International Inc.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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