372 search results - page 3 / 75 » Covariance Kernels from Bayesian Generative Models |
ICCS
2004
Springer
13 years 11 months ago
2004
Springer
In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
SSPR
2010
Springer
13 years 4 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
NIPS
2003
13 years 7 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
TSP
2008
13 years 6 months ago
2008
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
We propose a new approach for the restoration of polarimetric Stokes images, capable of simultaneously segmenting and restoring the images. In order to easily handle the admissibi...