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SSPR
2004
Springer
14 years 3 months ago
Clustering with Soft and Group Constraints
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...
WAIM
2001
Springer
14 years 2 months ago
Link Based Clustering of Web Search Results
Abstract. With information proliferation on the Web, how to obtain highquality information from the Web has been one of hot research topics in many fields like Database, IR as well...
Yitong Wang, Masaru Kitsuregawa
JMLR
2010
113views more  JMLR 2010»
13 years 4 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
ICRA
2007
IEEE
118views Robotics» more  ICRA 2007»
14 years 4 months ago
Scheduling Analysis of Cluster Tools with Buffer/Process Modules
— Modeling and scheduling of cluster tools are critical to improving the productivity and to enhancing the design of wafer processing flows and equipment for semiconductor manuf...
Jingang Yi, Shengwei Ding, Dezhen Song, Mike Tao Z...
CVPR
2009
IEEE
15 years 5 months ago
Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds
The mean shift algorithm, which is a nonparametric density estimator for detecting the modes of a distribution on a Euclidean space, was recently extended to operate on analytic ...
Hasan Ertan Çetingül, René Vida...