406 search results - page 31 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
ICASSP
2009
IEEE
15 years 1 months ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
ICARCV
2008
IEEE
15 years 4 months ago
2008
IEEE
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
WACV
2008
IEEE
15 years 4 months ago
2008
IEEE
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...