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» Embedding ultrametrics into low-dimensional spaces
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COMPGEOM
2006
ACM
13 years 10 months ago
Embedding ultrametrics into low-dimensional spaces
We study the problem of minimum-distortion embedding of ultrametrics into the plane and higher dimensional spaces. Ultrametrics are a natural class of metrics that frequently occu...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...
DEXA
2009
Springer
153views Database» more  DEXA 2009»
13 years 11 months ago
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces
Arnab Bhattacharya, Purushottam Kar, Manjish Pal
DAGM
2009
Springer
13 years 11 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
STOC
2004
ACM
126views Algorithms» more  STOC 2004»
14 years 5 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
CIKM
2008
Springer
13 years 6 months ago
On low dimensional random projections and similarity search
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
Yu-En Lu, Pietro Liò, Steven Hand