849 search results - page 3 / 170 » Variational methods for the Dirichlet process |
152
Voted
CVPR
2008
IEEE
16 years 5 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...
106
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
An endmember detection algorithm for hyperspectral imagery using the Dirichlet process to determine the number of endmembers in a hyperspectral image is described. This algorithm ...
169
Voted
JMLR
2010
14 years 10 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
133
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
130
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...