54 search results - page 3 / 11 » Dirichlet Process Gaussian Mixture Models: Choice of the Bas... |
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
GI
2009
Springer
13 years 9 months ago
2009
Springer
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
SAC
2011
ACM
13 years 15 days ago
2011
ACM
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...