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Graph Embedding for Pattern Analysis formatIsbn:Hardcover - 9781461444565 Die Rückblenden auf das Werden

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Graph Embedding for Pattern Analysis formatIsbn:Hardcover - 9781461444565 Die Rückblenden auf das WerdenGraph 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

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