245 search results - page 14 / 49 » Learned parametric mixture based ICA algorithm |
NIPS
2008
13 years 10 months ago
2008
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
PAMI
2012
11 years 11 months ago
2012
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
TSP
2010
13 years 3 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...