Graph embedding for pattern analysis

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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Other Authors: Fu, Yun., Ma, Yunqian., SpringerLink (Online service)
Format: eBook
Language: English
Published: New York, NY : Springer, ©2013.
New York, NY : [2013]
Physical Description: 1 online resource.
Subjects:

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