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» Approximation Algorithms for Clustering Problems
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ICPP
2005
IEEE
16 years 1 months ago
Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism
We consider the filter decomposition problem in supporting coarse-grained pipelined parallelism. This form of parallelism is suitable for data-driven applications in scenarios wh...
Wei Du, Gagan Agrawal
NIPS
2008
15 years 9 months ago
Improved Moves for Truncated Convex Models
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
M. Pawan Kumar, Philip H. S. Torr
ICPR
2004
IEEE
16 years 8 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...
ATAL
2003
Springer
16 years 29 days ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver
COCOON
1999
Springer
16 years 5 hour ago
Multi-coloring Trees
Scheduling jobs with pairwise conflicts is modeled by the graph multicoloring problem. It occurs in two versions: in the preemptive case, each vertex may get any set of colors, w...
Magnús M. Halldórsson, Guy Kortsarz,...