406 search results - page 6 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
ICTAI
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
126
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ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
118
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
101
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TIP
2008
14 years 9 months ago
2008
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...