1 citations · 2 across the 7 of their papers we have counts for
7 papers
Online multidimensional dictionary learning
Ferdaous Ait Addi, Abdeslem Hafid Bentbib, Khalide Jbilou
Dictionary learning is a widely used technique in signal processing and machine learning that aims to represent data as a linear combination of a few elements from an overcomplete…
Multidimensional extrapolated global proximal gradient and applications for image processing
Abdeslem Hafid Bentbib, Khalide Jbilou, Ridwane Tahiri
The proximal gradient method is a generic technique introduced to tackle the non-smoothness in optimization problems, wherein the objective function is expressed as the sum of a di…
Einstien-Multidimensional Extrapolation methods
A. H. Bentbib, K. Jbilou, R. Tahiri
In this paper, we present a new framework for the recent multidimensional extrapolation methods: Tensor Global Minimal Polynomial (TG-MPE) and Tensor Global Reduced Rank Extrapolat…
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…
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…
The global extended-rational Arnoldi method for matrix function approximation
A. H. Bentbib, M. El Ghomari, K. Jbilou
The numerical computation of matrix functions such as , where is an large and sparse square matrix, is an block with and is a n…
A generalized matrix Krylov subspace method for TV regularization
A. Bentbib, M. El Guide, K. Jbilou
This paper presents an efficient algorithm to solve total variation (TV) regularizations of images contaminated by a both blur and noise. The unconstrained structure of the problem…