352 search results - page 26 / 71 » Transformations of Gaussian Process Priors |
ICTAI
2005
IEEE
15 years 5 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...
104
Voted
ICASSP
2009
IEEE
15 years 3 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...
85
Voted
NIPS
2003
15 years 1 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
ACCV
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
TIP
2011
14 years 6 months ago
2011
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...