10 search results - page 2 / 2 » Sparse Bayesian kernel logistic regression |
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
JMLR
2010
13 years 5 months ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
IBPRIA
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
ESANN
2008
14 years 8 days ago
2008
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
ECCV
2006
Springer
15 years 22 days ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...