Graph Embedding for Pattern Analysis - Softcover

 
9781489990624: Graph Embedding for Pattern Analysis
Softcover
ISBN 10: 1489990623 ISBN 13: 9781489990624
Publisher: Springer, 2014

Synopsis

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" may belong to another edition of this title.

About the Author

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2014
Language
English
ISBN 10 
1489990623
ISBN 13 
9781489990624
Binding
Paperback
Number of pages
268
Editor
Fu Yun, Ma Yunqian

Other Popular Editions of the Same Title

9781461444565: Graph Embedding for Pattern Analysis

Featured Edition

ISBN 10:  146144456X ISBN 13:  9781461444565
Publisher: Springer, 2012
Hardcover