1018 search results - page 9 / 204 » Learning Probabilistic Models of Contours |
116
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ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
We present a region based active contour model which does not require any initialisation and is capable of modelling multi-modal image regions. Its external force is based on stat...
128
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ICPR
2006
IEEE
16 years 2 months ago
2006
IEEE
This paper revisits the model-based approaches for groupwise shape alignment. The key contribution is modeling the landmarks instead of considering them as nodes sliding along the...
207
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ICLP
2009
Springer
16 years 2 months ago
2009
Springer
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
120
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
113
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na