12 citations · 15 across the 5 of their papers we have counts for
5 papers
Contrastive Learning for Regression on Hyperspectral Data
Mohamad Dhaini, Maxime Berar, Paul Honeine +1
Contrastive learning has demonstrated great effectiveness in representation learning especially for image classification tasks. However, there is still a shortage in the studies ta…
Maximum Correntropy Unscented Filter
Xi Liu, Badong Chen, Bin Xu +2
The unscented transformation (UT) is an efficient method to solve the state estimation problem for a non-linear dynamic system, utilizing a derivative-free higher-order approximati…
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models
Paul Honeine, Fei Zhu
Nonnegative matrix factorization (NMF) is a powerful class of feature extraction techniques that has been successfully applied in many fields, namely in signal and image processing…
Entropy of Overcomplete Kernel Dictionaries
Paul Honeine
In signal analysis and synthesis, linear approximation theory considers a linear decomposition of any given signal in a set of atoms, collected into a so-called dictionary. Relevan…
An eigenanalysis of data centering in machine learning
Paul Honeine
Many pattern recognition methods rely on statistical information from centered data, with the eigenanalysis of an empirical central moment, such as the covariance matrix in princip…