11 citations · 24 across the 9 of their papers we have counts for
12 papers · 1 filter
Multilinear Discriminant Analysis using a new family of tensor-tensor products
F. Dufrenois, A. El Ichi, K. Jbilou
Multilinear Discriminant Analysis (MDA) is a powerful dimension reduction method specifically formulated to deal with tensor data. Precisely, the goal of MDA is to find mode-specif…
Generalized L-product for hight order tensors with applications using GPU computation
Abdeslem Hafid Ben Tbib, Mouad Elalj, Anas EL Hachimi +2
In this paper, we will present a generalization of the L-tensor product (L-product) including generalization of the well known tensor cosine and T-products that were defined for th…
An efficient extended block Arnoldi algorithm for feedback stabilization of incompressible Navier-Stokes flow problems
Mohamed Amine Hamadi, Khalide Jbilou, Ahmed Ratnani
Navier-Stokes equations are well known in modelling of an incompressible Newtonian fluid, such as air or water. This system of equations is very complex due to the non-linearity te…
A multidimensional principal component analysis via the c-product Golub-Kahan-SVD for classification and face recognition
Mustapha Hached, Khalide Jbilou, Christos Koukouvinos +1
Face recognition and identification is a very important application in machine learning. Due to the increasing amount of available data, traditional approaches based on matricizati…
Discrete cosine transform LSQR and GMRES methods for multidimensional ill-posed problems
M. El Guide, A. El Ichi, K. Jbilou
In the present work, we propose new tensor Krylov subspace method for ill posed linear tensor problems such as in color or video image restoration. Those methods are based on the t…
On the tensor nuclear norm and the total variation regularization for image and video completion
A. H. Bentbib, A. El Hachimi, K. Jbilou +1
In the present paper we propose two new algorithms of tensor completion for three-order tensors. The proposed methods consist in minimizing the average rank of the underlying tenso…