138 search results - page 22 / 28 » The Gaussian Process Density Sampler |
RSS
2007
13 years 11 months ago
2007
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
NIPS
1997
13 years 11 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
NECO
2011
13 years 4 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
SSD
2007
Springer
14 years 3 months ago
2007
Springer
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...