406 search results - page 20 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
151
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
164
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VISUAL
2005
Springer
15 years 9 months ago
2005
Springer
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
132
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CORR
2012
Springer
14 years 3 hour ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
144
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NIPS
2008
15 years 5 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
126
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AVSS
2006
IEEE
15 years 10 months ago
2006
IEEE
We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Ga...