107 search results - page 6 / 22 » Fast Gaussian process methods for point process intensity es... |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...