Nearest-Neighbor Methods in Learning and Vision: Theory and Practice
(Part of the Neural Information Processing Series)
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Advances in computational geometry and machine learning that offer new methods for search, regression, and classification with large amounts of high-dimensional data. 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...
Format:Hardcover
Language:English
ISBN:026219547X
ISBN13:9780262195478
Release Date:January 2006
Publisher:MIT Press
Length:252 Pages
Weight:1.80 lbs.
Dimensions:0.7" x 8.3" x 10.3"
Age Range:18 years and up
Grade Range:Postsecondary and higher
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