120 search results - page 4 / 24 » Collapsed Variational Dirichlet Process Mixture Models |
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
KDD
2010
ACM
13 years 4 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 ...
ICASSP
2009
IEEE
13 years 10 months ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
JMLR
2010
13 years 25 days ago
2010
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...