1430 search results - page 150 / 286 » Representing Probability Measures using Probabilistic Proces... |
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
We present a method that automatically partitions a single image into non-overlapping regions coherent in texture and colour. An assumption that each textured or coloured region ca...
IWCM
2004
Springer
14 years 2 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
ICCV
2011
IEEE
12 years 9 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...