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» A Novel Framework for Discovering Robust Cluster Results
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ISBI
2007
IEEE
14 years 3 months ago
A Novel Tag Removal Technique for Tagged Cardiac Mri and Its Applications
In this paper we present a novel tag removal method for tagged cardiac MR images. This method is based on a 2D bandstop filtering technique, which selectively attenuates the tag ...
Zhen Qian, Rui Huang, Dimitris N. Metaxas, Leon Ax...
CIKM
2009
Springer
14 years 3 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu
PADS
2006
ACM
14 years 2 months ago
A Framework for Robust HLA-based Distributed Simulations
The High Level Architecture (HLA) is a standard for the interoperability and reuse of simulation components, referred to as federates. Large scale HLA-compliant simulations are bu...
Dan Chen, Stephen John Turner, Wentong Cai
AAAI
2006
13 years 10 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 1 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim