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UAI
2008
14 years 11 months ago
Learning and Solving Many-Player Games through a Cluster-Based Representation
In addressing the challenge of exponential scaling with the number of agents we adopt a cluster-based representation to approximately solve asymmetric games of very many players. ...
Sevan G. Ficici, David C. Parkes, Avi Pfeffer
AUSAI
2010
Springer
14 years 7 months ago
A Heuristic on Effective and Efficient Clustering on Uncertain Objects
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
Edward Hung, Lei Xu, Chi-Cheong Szeto
ICSM
2005
IEEE
15 years 3 months ago
Comparison of Clustering Algorithms in the Context of Software Evolution
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
Jingwei Wu, Ahmed E. Hassan, Richard C. Holt
CLUSTER
2008
IEEE
15 years 4 months ago
DLM: A distributed Large Memory System using remote memory swapping over cluster nodes
Abstract—Emerging 64bitOS’s supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connect...
Hiroko Midorikawa, Motoyoshi Kurokawa, Ryutaro Him...
CVPR
2004
IEEE
15 years 12 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic