93 search results - page 12 / 19 » Supervised probabilistic principal component analysis |
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
ISDA
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We present a novel multi-view denoising algorithm. Our
algorithm takes noisy images taken from different viewpoints
as input and groups similar patches in the input images using
...
FGR
2000
IEEE
14 years 3 days ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...