112 search results - page 18 / 23 » Gaussian Processes for Machine Learning (GPML) Toolbox |
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
JMLR
2010
13 years 6 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...