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ICML
2006
IEEE
16 years 2 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
IPMI
2007
Springer
16 years 2 months ago
Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts
A novel framework for joint clustering and point-by-point mapping of white matter fiber pathways is presented. Accurate clustering of the trajectories into fiber bundles requires p...
Mahnaz Maddah, William M. Wells III, Simon K. Warf...
CORR
2010
Springer
81views Education» more  CORR 2010»
14 years 8 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
HICSS
2002
IEEE
76views Biometrics» more  HICSS 2002»
15 years 6 months ago
Synchronizing Pace in Asynchronous Global Virtual Project Teams
In this study, we explore the nature of team interaction and the role of temporal coordination in asynchronously communicating global virtual project teams (GVPTs). Drawing on Tim...
Anne P. Massey, Mitzi M. Montoya-Weiss, Yu-Ting Ca...
FAST
2011
14 years 5 months ago
Capo: Recapitulating Storage for Virtual Desktops
Shared storage underlies most enterprise VM deployments because it is an established technology that administrators are familiar with and because it good job of protecting data. H...
Mohammad Shamma, Dutch T. Meyer, Jake Wires, Maria...