644 search results - page 44 / 129 » Robust Bayesian Mixture Modelling |
91
Voted
ECCV
2000
Springer
16 years 2 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
109
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
120
Voted
ICASSP
2009
IEEE
14 years 10 months ago
2009
IEEE
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
117
Voted
PAMI
2008
15 years 18 days ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
102
click to vote
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...