587 search results - page 13 / 118 » Information Consistency of Nonparametric Gaussian Process Me... |
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— Particle filters are a frequently used filtering technique in the robotics community. They have been successfully applied to problems such as localization, mapping, o...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
DSMML
2004
Springer
15 years 3 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...