Name: Graph Embedding for Pattern Analysis
Price: 143.86 CAD
Availability: InStock
Author: Fu, Yun ; Ma, Yunqian
ISBN: 9781461444565

Select your country

Americas

Europe

Rest of the world

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.

Customers reviews

Have you read this book? Login to add your review.

More customer reviews

0% (0)
0% (0)
0% (0)
0% (0)
0% (0)

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews

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

Synopsis "Graph Embedding for Pattern Analysis"

Customers reviews

Frequently Asked Questions about the Book

Is the book original?

In what language is the book written?

What is the format of this book?

Questions and Answers about the Book

Opinions about Bookdelivery