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SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
14 years 2 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...
BMCBI
2007
168views more  BMCBI 2007»
14 years 11 months ago
Benchmarking consensus model quality assessment for protein fold recognition
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Liam J. McGuffin
ECML
2005
Springer
15 years 5 months ago
Estimation of Mixture Models Using Co-EM
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
Steffen Bickel, Tobias Scheffer
DSN
2002
IEEE
15 years 4 months ago
Performance Analysis of a Consensus Algorithm Combining Stochastic Activity Networks and Measurements
Protocols which solve agreement problems are essential building blocks for fault tolerant distributed applications. While many protocols have been published, little has been done ...
Andrea Coccoli, Péter Urbán, Andrea ...
77
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ICCV
2009
IEEE
16 years 4 months ago
GroupSAC: Efficient Consensus in the Presence of Groupings
We present a novel variant of the RANSAC algorithm that is much more efficient, in particular when dealing with problems with low inlier ratios. Our algorithm assumes that there...
Kai Ni, Hailin Jin, Frank Dellaert