1658 search results - page 133 / 332 » Learning Mixtures of Gaussians |
154
click to vote
JMLR
2007
15 years 6 months ago
2007
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
170
click to vote
ISBI
2004
IEEE
16 years 7 months ago
2004
IEEE
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
198
click to vote
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
193
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
131
click to vote
COLT
2004
Springer
15 years 12 months ago
2004
Springer
We define the problem of inferring a “mixture of Markov chains” based on observing a stream of interleaved outputs from these chains. We show a sharp characterization of the i...