308 search results - page 16 / 62 » Bayesian Classification With Gaussian Processes |
145
click to vote
NIPS
2004
15 years 7 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
167
Voted
ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
245
click to vote
ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
225
click to vote
JMLR
2010
15 years 1 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
166
Voted
ICIP
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...