1900 search results - page 103 / 380 » Gaussian Processes in Machine Learning |
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
ICANN
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
IJON
2007
13 years 9 months ago
2007
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
ICML
1998
IEEE
14 years 9 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
ECTEL
2006
Springer
14 years 21 days ago
2006
Springer
Abstract. This paper investigates the use of ontologies in processes of collaborative learning and knowledge generation. The creation and use of ontologies is analysed from an acti...