11 citations · 34 across the 29 of their papers we have counts for
6 papers · 1 filter
A low-rank non-convex norm method for multiview graph clustering
Alaeddine Zahir, Khalide Jbilou, Ahmed Ratnani
This study introduces a novel technique for multi-view clustering known as the "Consensus Graph-Based Multi-View Clustering Method Using Low-Rank Non-Convex Norm" (CGMVC-NC). Multi…
Tensor Golub Kahan based on Einstein product
Anas El Hachimi, Khalide Jbilou, Mustapha Hached +1
The Singular Value Decomposition (SVD) of matrices is a widely used tool in scientific computing. In many applications of machine learning, data analysis, signal and image processi…
Spectral computation with third-order tensors using the t-product
Anas El Hachimi, Khalide Jbilou, Ahmed Ratnani +1
The tensor t-product, introduced by Kilmer and Martin [26], is a powerful tool for the analysis of and computation with third-order tensors. This paper introduces eigentubes and ei…
Auxiliary Splines Space Preconditioning for B-Splines Finite Elements: The case of and elliptic problems
Abdeladim El Akri, Khalide Jbilou, Ahmed Ratnani
This paper presents a study of large linear systems resulting from the regular -splines finite element discretization of the and elliptic p…
High-dimensional multi-view clustering methods
Alaeddine Zahir, Khalide Jbilou, Ahmed Ratnani
Multi-view clustering has been widely used in recent years in comparison to single-view clustering, for clear reasons, as it offers more insights into the data, which has brought w…
A tensor bidiagonalization method for higher-order singular value decomposition with applications
Anas El Hachimi, Khalide Jbilou, Ahmed Ratnani +1
The need to know a few singular triplets associated with the largest singular values of third-order tensors arises in data compression and extraction. This paper describes a new me…