171 search results - page 6 / 35 » Factorized Asymptotic Bayesian Inference for Mixture Modelin... |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper addresses the problem of estimating the statistical distribution of multiple-tissue non-stationary ultrasound images of skin. The distribution of multiple-tissue images...
NIPS
2001
13 years 9 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
NIPS
2007
13 years 9 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
SAC
2010
ACM
13 years 2 months ago
2010
ACM
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...