Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysis

We proposed two new component-based methods that extend clusterwise regression to multiblock data and to model the relationships between one block of dependent vari- ables and

We show how slight variants of the regularization term of [1] can be used successfully to yield a structured and sparse formulation of principal component analysis for which we

In this work, we propose and study analytical expressions of the Bayesian Mean Square Error (BMSE) of dictionary based biased estimators at high SNR.. We also show that this class

Les principaux phénomènes qui contrôlent le devenir des pesticides dans l’environnement peuvent cependant être classés selon trois processus qui sont le transfert

In this thesis we have studied some mathematical models describing the evolution of PRION diseases, we have studied mathematicaly the existence of solutions of a

Le deuxième chapitre propose trois méthodes de détection et de diagnostic de défauts électroniques de type circuit ouvert dans une association onduleur trois

We show why this algorithm provides an efficient means of compression for both connectivity and geometry of 3D meshes and it is illustrated by experimental results on a various set

Our target application is the tracking of organized cloud systems, called Mesoscale Convective Systems (MCS) in infrared satellite images.. The MCS are formed when clouds generated