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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...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2013
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| Acceso en línea: | https://dx.doi.org/10.1007/978-1-4614-4457-2 http://cds.cern.ch/record/1500223 |