530 search results - page 33 / 106 » Dirichlet Process Mixtures of Generalized Linear Models |
158
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
112
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
This work investigates the use of missing data techniques for noise robust speaker identification. Most previous work in this field relies on the diagonal covariance assumption ...
136
Voted
STTT
2011
14 years 10 months ago
2011
We present algorithms for parallel probabilistic model checking on general purpose graphic processing units (GPGPUs). Our improvements target the numerical components of the tradit...
123
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
130
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...