116 search results - page 9 / 24 » Monte Carlo Hierarchical Model Learning |
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
IJCV
2008
13 years 8 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
ML
2006
ACM
13 years 8 months ago
2006
ACM
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
BMCBI
2010
13 years 9 months ago
2010
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...