Sciweavers

208 search results - page 10 / 42
» A Bayesian Graph Clustering Approach Using the Prior Based o...
Sort
View
SIGIR
2004
ACM
14 years 2 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
BMCBI
2007
137views more  BMCBI 2007»
13 years 8 months ago
Bayesian refinement of protein functional site matching
Background: Matching functional sites is a key problem for the understanding of protein function and evolution. The commonly used graph theoretic approach, and other related appro...
Kanti V. Mardia, Vysaul B. Nyirongo, Peter J. Gree...
ICIP
2008
IEEE
14 years 3 months ago
Total variation super resolution using a variational approach
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 8 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...