2190 search results - page 213 / 438 » Mixtures of Gaussian Processes |
233
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JMLR
2010
15 years 1 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
188
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NIPS
2004
15 years 8 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
200
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IGARSS
2009
15 years 4 months ago
2009
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
162
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spe...
138
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...