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» A Low Complexity Euclidean Norm Approximation
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TSP
2008
98views more  TSP 2008»
13 years 7 months ago
A Low Complexity Euclidean Norm Approximation
Changkyu Seol, Kyungwhoon Cheun
STOC
2004
ACM
126views Algorithms» more  STOC 2004»
14 years 7 months ago
Bypassing the embedding: algorithms for low dimensional metrics
The doubling dimension of a metric is the smallest k such that any ball of radius 2r can be covered using 2k balls of raThis concept for abstract metrics has been proposed as a na...
Kunal Talwar
ECCV
2010
Springer
14 years 20 days ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
BIOINFORMATICS
2008
172views more  BIOINFORMATICS 2008»
13 years 7 months ago
Fitting a geometric graph to a protein-protein interaction network
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...
Desmond J. Higham, Marija Rasajski, Natasa Przulj
CVPR
2008
IEEE
14 years 9 months ago
Approximate earth mover's distance in linear time
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
Sameer Shirdhonkar, David W. Jacobs