922 search results - page 31 / 185 » Learning Gaussian Process Models from Uncertain Data |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
IOR
2010
13 years 5 months ago
2010
We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horiz...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
Gabor filters are biologically motivated convolution kernels that have been widely used in the field of computer vision and, specially, in face recognition during the last decad...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...