The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Although many systems exist for automatic classification of faces according to their emotional expression, these systems do not explicitly estimate the strength of given expression...
M. Ashraful Amin, Nitin V. Afzulpurkar, Matthew N....
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
This paper presents a technique for decomposing an unseen 3D face under any facial expression into an estimated 3D neutral face and expression deformations (the shape residue betwe...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...