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» Simple Randomized Algorithms for Closest Pair Problems
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WSCG
2004
142views more  WSCG 2004»
14 years 11 months ago
Metropolis Iteration for Global Illumination
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
László Szirmay-Kalos, Bálazs ...
NIPS
2003
14 years 11 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
TOG
1998
98views more  TOG 1998»
14 years 9 months ago
V-Clip: Fast and Robust Polyhedral Collision Detection
This paper presents the Voronoi-clip, or V-clip, collision detection algorithm for polyhedral objects specified by a boundary representation. V-clip tracks the closest pair of fe...
Brian Mirtich
ICALP
2004
Springer
15 years 3 months ago
Sublinear-Time Approximation for Clustering Via Random Sampling
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
Artur Czumaj, Christian Sohler
98
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IAT
2009
IEEE
15 years 4 months ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...