Graph Embedding for Pattern Analysis

Language: English

Published by Springer, Springer Dez 2014, 2014

1489990623 / 9781489990624

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This item is printed on demand - Print on Demand Titel. Neuware -Graph Embedding for Pattern Recognition 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.

Seller Inventory # 9781489990624

Title
Graph Embedding for Pattern Analysis
Author
Yun Fu
Publisher
Springer, Springer Dez 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1489990623
ISBN 13
9781489990624
Item weight
411 grams
Dimensions
235x155x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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