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We outline the theoretical basis of the well-know product model as described by the class of Scale Mixture models and discuss their appropriateness for modelling radar data.
Methods like Gaussian mixture models and auto-associative neural networks have been used for nonlinear problems.
In [8], the prosody is mapped from neutral to emotional using Gaussian mixture models and classification and regression trees.
The speakers are modeled as 64-mixture Gaussian mixture models and trained using the Gammatone frequency cepstral coefficients [12].
The author used two-parameter Weibull distribution function, parametric models, mixture models, and one nonparametric method using kernel density method.
A probabilistic hierarchical scheme is designed based on Gaussian mixture models and state-of-the-art sound parameters selected through extensive experimentation.
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The VOF model, the mixture model and the Eulerian model belong to the Eulerian Eulerian approach.
They first detect fishes using a combination of a Gaussian mixture model and moving average algorithms.
Figure 4 Illustration of the mapping representation as a mixture model and retrieval process.
In this section, we review the Gaussian mixture model and describe our motivation to use it to model behavioral patterns.
The approach provides a Gauss mixture model and an associated Gauss mixture vector quantizer which is locally robust.
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