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» On Approximating the Radii of Point Sets in High Dimensions
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ESA
2008
Springer
126views Algorithms» more  ESA 2008»
13 years 9 months ago
Space-Time Tradeoffs for Proximity Searching in Doubling Spaces
Abstract. We consider approximate nearest neighbor searching in metric spaces of constant doubling dimension. More formally, we are given a set S of n points and an error bound &g...
Sunil Arya, David M. Mount, Antoine Vigneron, Jian...
NIPS
2007
13 years 9 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
ECCV
2010
Springer
13 years 7 months ago
Geodesic Shape Retrieval via Optimal Mass Transport
This paper presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures are high dimensional statistical distributions computed by extractin...
Julien Rabin, Gabriel Peyré, Laurent D. Coh...
SIGMOD
1999
ACM
181views Database» more  SIGMOD 1999»
13 years 12 months ago
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Computing multidimensional aggregates in high dimensions is a performance bottleneck for many OLAP applications. Obtaining the exact answer to an aggregation query can be prohibit...
Jeffrey Scott Vitter, Min Wang
TOG
2012
297views Communications» more  TOG 2012»
11 years 10 months ago
Adaptive manifolds for real-time high-dimensional filtering
We present a technique for performing high-dimensional filtering of images and videos in real time. Our approach produces high-quality results and accelerates filtering by compu...
Eduardo S. L. Gastal, Manuel M. Oliveira