注重体验与质量的电子书资源下载网站
分类于: 其它 计算机基础
简介
Nearest-Neighbor Methods in Learning and Vision 豆 0.0分
资源最后更新于 2020-09-27 15:06:30
作者:Shakhnarovich, Gregory (EDT)/ Darrell, Trevor (EDT)/ Indyk, Piotr (EDT)
出版社:Mit Pr
出版日期:2006-01
ISBN:9780262195478
文件格式: pdf
标签: 机器学习 Machine-Learning 研究
简介· · · · · ·
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 discus...
目录
Preface
Chapter 1: Introduction
I Theory
Chapter 2: Nearest-Neighbor Searching and Metric Space Dimensions by K. L. Clarkson.
Chapter 3: Locality-Sensitive Hashing Using Stable Distributions by A. Andoni, M. Datar, N. Immorlica, P. Indyk, and V. Mirrokni.
II Learning
Chapter 4: New Algorithms for Efficient High-Dimensional Nonparametric Classification by T. Liu, A. W. Moore, and A. Gray.
Chapter 5: Approximate Nearest Neighbor Regression in Very High Dimensions by S. Vijayakumar, A. D'Souza, and S. Schaal.
Chapter 6: Learning Embeddings for Fast Approximate Nearest Neighbor Retrieval by V. Athitsos, J. Alon, S. Sclaroff, and G. Kollios.
III Vision
Chapter 7: Parameter-Sensitive Hashing for Fast Pose Estimation by G. Shakhnarovich, P. Viola, and T. Darrell.
Chapter 8: Contour Matching Using Approximate Earth Mover's Distance by K. Grauman and T. Darrell.
Chapter 9: Adaptive Mean Shift Based Clustering in High Dimensions by I. Shimshoni, , and P. Meer.
Chapter 10: Object Recognition using Locality Sensitive Hashing of Shape Contexts by A. Frome and J. Malik.
Chapter 1: Introduction
I Theory
Chapter 2: Nearest-Neighbor Searching and Metric Space Dimensions by K. L. Clarkson.
Chapter 3: Locality-Sensitive Hashing Using Stable Distributions by A. Andoni, M. Datar, N. Immorlica, P. Indyk, and V. Mirrokni.
II Learning
Chapter 4: New Algorithms for Efficient High-Dimensional Nonparametric Classification by T. Liu, A. W. Moore, and A. Gray.
Chapter 5: Approximate Nearest Neighbor Regression in Very High Dimensions by S. Vijayakumar, A. D'Souza, and S. Schaal.
Chapter 6: Learning Embeddings for Fast Approximate Nearest Neighbor Retrieval by V. Athitsos, J. Alon, S. Sclaroff, and G. Kollios.
III Vision
Chapter 7: Parameter-Sensitive Hashing for Fast Pose Estimation by G. Shakhnarovich, P. Viola, and T. Darrell.
Chapter 8: Contour Matching Using Approximate Earth Mover's Distance by K. Grauman and T. Darrell.
Chapter 9: Adaptive Mean Shift Based Clustering in High Dimensions by I. Shimshoni, , and P. Meer.
Chapter 10: Object Recognition using Locality Sensitive Hashing of Shape Contexts by A. Frome and J. Malik.