Name: Graph Embedding for Pattern Analysis
Price: 100.15 EUR
Availability: InStock
Author: Fu, Yun ; Ma, Yunqian
ISBN: 9781461444565

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portada Graph Embedding for Pattern Analysis

Type

Physical Book

Publisher

Springer

Author

Fu, Yun ; Ma, Yunqian

Language

English

Pages

260

Format

Hardcover

Dimensions

23.4 x 16.0 x 2.0 cm

Weight

0.43 kg.

ISBN13

9781461444565

Synopsis "Graph Embedding for Pattern Analysis"

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.

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Graph Embedding for Pattern Analysis - Fu, Yun ; Ma, Yunqian

Synopsis "Graph Embedding for Pattern Analysis"

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