22 citations · 36 across the 7 of their papers we have counts for
8 papers
Projection Pursuit CPCANet for Domain Generalization
Yu-Hsi Chen, Abd-Krim Seghouane
Domain Generalization (DG) aims to learn representations robust to distribution shifts. Recent geometric alignment methods, such as CPCANet, extract domain-invariant structures thr…
CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization
Yu-Hsi Chen, Abd-Krim Seghouane
Domain Generalization (DG) aims to learn representations that remain robust under out-of-distribution (OOD) shifts and generalize effectively to unseen target domains. While recent…
Robust Regression under Adversarial Contamination: Theory and Algorithms for the Welsch Estimator
Ilyes Hammouda, Mohamed Ndaoud, Abd-Krim Seghouane
Convex and penalized robust regression methods often suffer from a persistent bias induced by large outliers, limiting their effectiveness in adversarial or heavy-tailed settings.…
Joint Approximate Partial Diagonalization of Large Matrices
Abd-Krim Seghouane, Yousef Saad
Given a set of symmetric (real) matrices, the Orthogonal Joint Diagonalization (OJD) problem consists of finding an orthonormal basis in which the representation of each of the…
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
Aref Miri Rekavandi, Lian Xu, Farid Boussaid +3
Small object detection (SOD) in optical images and videos is a challenging problem that even state-of-the-art generic object detection methods fail to accurately localize and ident…
Find the dimension that counts: Fast dimension estimation and Krylov PCA
Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad
High dimensional data and systems with many degrees of freedom are often characterized by covariance matrices. In this paper, we consider the problem of simultaneously estimating t…
Hybrid Joint Diagonalization Algorithms
Mohamed Nait-Meziane, Karim Abed-Meraim, Abd-Krim Seghouane +1
This paper deals with a hybrid joint diagonalization (JD) problem considering both Hermitian and transpose congruences. Such problem can be encountered in certain non-circular sign…
Fast estimation of approximate matrix ranks using spectral densities
Shashanka Ubaru, Yousef Saad, Abd-Krim Seghouane
In many machine learning and data related applications, it is required to have the knowledge of approximate ranks of large data matrices at hand. In this paper, we present two comp…