200 search results - page 18 / 40 » On the Consistency of Discrete Bayesian Learning |
NIPS
1992
13 years 9 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
In order to perform medical image registration, landmarks are used to settle correspondences between images. A landmark is a voxel in the image that corresponds to a well-defined ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...