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» Low distortion maps between point sets
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STOC
2005
ACM
130views Algorithms» more  STOC 2005»
14 years 5 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...
CVPR
2006
IEEE
13 years 11 months ago
Particle Video: Long-Range Motion Estimation using Point Trajectories
This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration t...
Peter Sand, Seth J. Teller
FOCS
2003
IEEE
13 years 10 months ago
Bounded Geometries, Fractals, and Low-Distortion Embeddings
The doubling constant of a metric space (X, d) is the smallest value λ such that every ball in X can be covered by λ balls of half the radius. The doubling dimension of X is the...
Anupam Gupta, Robert Krauthgamer, James R. Lee
APPROX
2006
Springer
106views Algorithms» more  APPROX 2006»
13 years 9 months ago
A Tight Lower Bound for the Steiner Point Removal Problem on Trees
Gupta (SODA'01) considered the Steiner Point Removal (SPR) problem on trees. Given an edge-weighted tree T and a subset S of vertices called terminals in the tree, find an edg...
Hubert T.-H. Chan, Donglin Xia, Goran Konjevod, An...
IJCV
2006
115views more  IJCV 2006»
13 years 5 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...