413 search results - page 5 / 83 » Face recognition using mixtures of principal components |
ICIP
2006
IEEE
2006
IEEE
Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition
14 years 9 months ago
In this effort, we propose a new image fusion technique, utilizing Empirical Mode Decomposition (EMD), for improved face recognition. EMD is a non-parametric datadriven analysis t...
IEICET
2010
13 years 6 months ago
2010
Estimating the ratio of two probability density functions (a.k.a. the importance) has recently gathered a great deal of attention since importance estimators can be used for solvi...
ISBI
2006
IEEE
2006
IEEE
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
14 years 8 months ago
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
DICTA
2003
13 years 9 months ago
2003
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
GLVLSI
2003
IEEE
14 years 28 days ago
2003
IEEE
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...