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ECCV
2000
Springer
14 years 12 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
AIPR
2002
IEEE
14 years 3 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
ESANN
2006
13 years 11 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
SCS
2003
13 years 11 months ago
A New Component Concept for Fault Trees
The decomposition of complex systems into manageable parts is an essential principle when dealing with complex technical systems. However, many safety and reliability modelling te...
Bernhard Kaiser, Peter Liggesmeyer, Oliver Mä...
HCI
2009
13 years 8 months ago
Tonic Changes in EEG Power Spectra during Simulated Driving
Electroencephalographic (EEG) correlates of driving performance were studied using an event-related lane-departure paradigm. High-density EEG data were analyzed using independent c...
Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig