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» Sublinear Time Algorithms for Metric Space Problems
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2005
ACM
130views Algorithms» more  STOC 2005»
16 years 3 months ago
Low-distortion embeddings of general metrics into the line
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...
117
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GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
15 years 4 months ago
Search space reduction technique for constrained optimization with tiny feasible space
The hurdles in solving Constrained Optimization Problems (COP) arise from the challenge of searching a huge variable space in order to locate feasible points with acceptable solut...
Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David ...
ECIR
2009
Springer
16 years 17 days ago
Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints
This paper presents a new approach designed to reduce the computational load of the existing clustering algorithms by trimming down the documents size using fingerprinting methods...
Javier Parapar, Alvaro Barreiro
137
Voted
ICML
2008
IEEE
16 years 4 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul
ICCV
1998
IEEE
16 years 5 months ago
A Metric for Distributions with Applications to Image Databases
Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India We introduce a new distance between two distributions that we call the Earth Mover's D...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas