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SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
14 years 7 months ago
Nonparametric Bayesian Co-clustering Ensembles
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
IPTPS
2005
Springer
15 years 10 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...
FPL
2010
Springer
188views Hardware» more  FPL 2010»
15 years 3 months ago
SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing
We demonstrate how Field Programmable Gate Arrays (FPGAs) may be used to address the computing challenges associated with assembling genome sequences from recent ultra-high-through...
Kristian Stevens, Henry Chen, Terry Filiba, Peter ...
ALMOB
2006
109views more  ALMOB 2006»
15 years 5 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
MICCAI
2005
Springer
16 years 5 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...