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ICIP
2008
IEEE
14 years 4 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
13 years 13 days 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
2006
150views more  BMCBI 2006»
13 years 9 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
UM
2001
Springer
14 years 2 months ago
Using Markov Chains for Structural Link Prediction in Adaptive Web Sites
My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The ...
Jianhan Zhu
PRIS
2004
13 years 11 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred