542 search results - page 2 / 109 » PCA Gaussianization for image processing |
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
ICIAP
2003
ACM
13 years 10 months ago
2003
ACM
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
ICASSP
2009
IEEE
13 years 9 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...