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Nearest-Neighbor Methods in Learning and Vision
Author: Gregory Shakhnarovich

ISBN: 9780262195478
Format: Hardcover
Number Of Pages: 280
Published: 14 February 2006
Country of Publication: US
Dimensions (cm): 1.91 x 20.96 x 26.04
Description:


Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets. This volume presents theoretical and practical discussions of nearest-neighbor (NN) methods in machine learning and examines computer vision as an application domain in which the benefit of these advanced methods is often dramatic. It brings together contributions from researchers in theory of computation, machine learning, and computer vision with the goals of bridging the gaps between disciplines and presenting state-of-the-art methods for emerging applications.The contributors focus on the importance of designing algorithms for NN search, and for the related classification, regression, and retrieval tasks, that remain efficient even as the ...

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