303 search results - page 12 / 61 » Gaussian Process Change Point Models |
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic ...
DSMML
2004
Springer
15 years 3 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
77
Voted
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
JMLR
2006
14 years 9 months ago
2006
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...