GRAPH EMBEDDING FOR PATTERN ANALYSIS by Yun Fu (Editor), Yunqian Ma (Editor) ( 9781489990624 )

Item Details

Title:

GRAPH EMBEDDING FOR PATTERN ANALYSIS

By:

Format:

Paperback

List price:	£89.99
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ISBN 10:

1489990623

ISBN 13:

9781489990624

Publisher:

SPRINGER-VERLAG NEW YORK INC.

Pub. date:

20 March, 2013

Edition:

2013 ed.

Pages:

260

Description:

This book presents 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, and describes their real-world applications.

Synopsis:

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.

Illustrations:

45 Tables, black and white; VIII, 260 p.

Publication:

Imprint:

Springer-Verlag New York Inc.

Returns:

Returnable

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