303 search results - page 12 / 61 » Gaussian Process Change Point Models |
133
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ECCV
2004
Springer
16 years 3 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 ...
123
Voted
DSMML
2004
Springer
15 years 7 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...
109
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ICPR
2006
IEEE
16 years 2 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...
110
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JMLR
2006
15 years 1 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 ...
119
Voted
ICIP
2006
IEEE
16 years 3 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...