3918 search results - page 572 / 784 » Probabilistic model of triangulation |
138
click to vote
JMLR
2010
14 years 10 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
135
Voted
JMLR
2010
14 years 10 months ago
2010
There is a growing interest in building probabilistic models with high order potentials (HOPs), or interactions, among discrete variables. Message passing inference in such models...
170
Voted
JMLR
2010
14 years 10 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
181
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
145
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...