922 search results - page 12 / 185 » Learning Gaussian Process Models from Uncertain Data |
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
ICDE
2007
IEEE
14 years 8 months ago
2007
IEEE
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between score and uncertainty makes traditio...
NIPS
2004
13 years 8 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...