Graph Embedding for Pattern Analysis

Graph Embedding for Pattern Analysis edited by Yun Fu, Yunqian Ma.

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, gr...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fu, Yun (Editor), Ma, Yunqian (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Springer eBook Collection.
Subjects:
Electrical engineering.
Pattern recognition.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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