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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
Discovery Miles 33 420
Repayment Terms: R313 pm x 12*
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Graph Embedding for Pattern Analysis (Hardcover, 2013 ed.): Yun Fu, Yunqian Ma

Graph Embedding for Pattern Analysis (Hardcover, 2013 ed.)

Yun Fu, Yunqian Ma

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Loot Price R3,342 Discovery Miles 33 420 | Repayment Terms: R313 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: November 2012
First published: 2013
Editors: Yun Fu • Yunqian Ma
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Hardcover
Pages: 260
Edition: 2013 ed.
ISBN-13: 978-1-4614-4456-5
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 1-4614-4456-X
Barcode: 9781461444565

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