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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
IVA
2009
Springer
16 years 1 months ago
Methodologies for the User Evaluation of the Motion of Virtual Humans
Abstract. Virtual humans are employed in many interactive applications, including (serious) games. Their motion should be natural and allow interaction with its surroundings and ot...
Sander E. M. Jansen, Herwin van Welbergen
MIDDLEWARE
2009
Springer
16 years 1 months ago
Middleware for Pervasive Spaces: Balancing Privacy and Utility
Abstract. Middleware for pervasive spaces has to meet conflicting requirements. It has to both maximize the utility of the information exposed and ensure that this information doe...
Daniel Massaguer, Bijit Hore, Mamadou H. Diallo, S...
189
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NOSSDAV
2009
Springer
16 years 1 months ago
A delaunay triangulation architecture supporting churn and user mobility in MMVEs
This article proposes a new distributed architecture for update message exchange in massively multi-user virtual environments (MMVE). MMVE applications require delivery of updates...
Mohsen Ghaffari, Behnoosh Hariri, Shervin Shirmoha...
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
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