180 search results - page 1 / 36 » Variational Inference for Diffusion Processes |
NIPS
2007
13 years 6 months ago
2007
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper we are interested in the joint reconstruction of geometry and photometry of scenes with multiple moving objects from a collection of motion-blurred images. We make s...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
CSDA
2008
13 years 5 months ago
2008
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
NIPS
2007
13 years 6 months ago
2007
Markov jump processes play an important role in a large number of application domains. However, realistic systems are analytically intractable and they have traditionally been ana...