64 search results - page 1 / 13 » Matrix-Variate Dirichlet Process Mixture Models |
JMLR
2010
12 years 11 months ago
2010
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
JCST
2010
13 years 3 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
KDD
2010
ACM
13 years 2 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...