138 search results - page 11 / 28 » The Gaussian Process Density Sampler |
GI
2007
Springer
14 years 4 months ago
2007
Springer
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
ICIP
2000
IEEE
14 years 2 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
DSMML
2004
Springer
14 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...
AVSS
2007
IEEE
14 years 4 months ago
2007
IEEE
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
CSDA
2010
13 years 10 months ago
2010
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...