2190 search results - page 79 / 438 » Mixtures of Gaussian Processes |
137
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ICPR
2000
IEEE
16 years 5 months ago
2000
IEEE
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
132
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EMMCVPR
1999
Springer
15 years 8 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
133
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
138
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NECO
1998
15 years 4 months ago
1998
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
The paper proposes a modification of the standard maximum a posteriori (MAP) method for the estimation of the parameters of a Gaussian process for cases where the process is supe...