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NIPS
2007
14 years 11 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
FGCS
2007
89views more  FGCS 2007»
14 years 10 months ago
Federated grid clusters using service address routed optical networks
Clusters of computers have emerged as cost-effective parallel and/or distributed computing systems for computationally intensive tasks. Normally, clusters are composed of high per...
Isaac D. Scherson, Daniel S. Valencia, Enrique Cau...
PAMI
2006
128views more  PAMI 2006»
14 years 10 months ago
On Weighting Clustering
Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance po...
Richard Nock, Frank Nielsen
CLUSTER
2002
IEEE
14 years 9 months ago
CEJVM: "Cluster Enabled Java Virtual Machine"
CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java`s multithreading mechani...
Muhammad Umar Janjua, Mehboob Yasin, Ch. Falak She...
CVPR
1999
IEEE
15 years 12 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann