120 search results - page 12 / 24 » Collapsed Variational Dirichlet Process Mixture Models |
145
Voted
IJCV
2008
15 years 1 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
133
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
133
Voted
ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
119
click to vote
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
112
click to vote
SIGIR
2003
ACM
15 years 7 months ago
2003
ACM
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...