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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics
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Graph Embedding for Pattern Analysis (Hardcover, 2013 ed.)
Loot Price: R3,342
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Graph Embedding for Pattern Analysis (Hardcover, 2013 ed.)
Expected to ship within 12 - 17 working days
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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.
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