4981 search results - page 10 / 997 » Dependent Gaussian Processes |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The paper proposes a modification of the standard maximum a posteriori (MAP) method for the estimation of the parameters of a Gaussian process for cases where the process is supe...
ESANN
2006
13 years 8 months ago
2006
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
DAC
2005
ACM
13 years 9 months ago
2005
ACM
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...