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» Embedding ultrametrics into low-dimensional spaces
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COMPGEOM
2006
ACM
14 years 23 days 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»
14 years 1 months ago
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces
Arnab Bhattacharya, Purushottam Kar, Manjish Pal
DAGM
2009
Springer
14 years 1 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 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
CIKM
2008
Springer
13 years 8 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