313 search results - page 7 / 63 » Hierarchical Discriminant Regression |
IBPRIA
2007
Springer
15 years 3 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...
81
Voted
NIPS
2008
14 years 11 months ago
2008
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
NIPS
2004
14 years 11 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
SYSTOR
2009
ACM
15 years 4 months ago
2009
ACM
A typical storage hierarchy comprises of components with varying performance and cost characteristics, providing multiple options for data placement. We propose and evaluate a hie...