496 search results - page 36 / 100 » Semi-Supervised Learning of Mixture Models |
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
148
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VLSISP
1998
15 years 2 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
274
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ECCV
2004
Springer
16 years 5 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
107
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ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
107
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BMVC
2001
15 years 5 months ago
2001
Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different...