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» Novel iteration schemes for the Cluster Variation Method
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CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 5 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 2 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
ECCV
2010
Springer
15 years 16 days ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
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CVPR
2008
IEEE
16 years 4 days ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos
VLDB
1998
ACM
204views Database» more  VLDB 1998»
15 years 2 months ago
Clustering Categorical Data: An Approach Based on Dynamical Systems
Wedescribea novel approachfor clustering collectionsof sets,andits applicationto theanalysis and mining of categoricaldata. By "categorical data," we meantableswith fiel...
David Gibson, Jon M. Kleinberg, Prabhakar Raghavan