Nearest-Neighbor Methods in Learning and Vision: Theory and Practice

by Gregory Shakhnarovich, Piotr Indyk, Trevor Darrell

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