1018 search results - page 143 / 204 » Learning Probabilistic Models of Contours |
IEEECIT
2010
IEEE
14 years 8 months ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
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CVPR
2011
IEEE
14 years 1 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...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...