10 citations · 13 across the 5 of their papers we have counts for
3 papers · 1 filter
Robust classification with flexible discriminant analysis in heterogeneous data
Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere +1
Linear and Quadratic Discriminant Analysis are well-known classical methods but can heavily suffer from non-Gaussian distributions and/or contaminated datasets, mainly because of t…
PCA-based Multi Task Learning: a Random Matrix Approach
Malik Tiomoko, Romain Couillet, Frédéric Pascal
The article proposes and theoretically analyses a \emph{computationally efficient} multi-task learning (MTL) extension of popular principal component analysis (PCA)-based supervise…
A flexible EM-like clustering algorithm for noisy data
Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
Though very popular, it is well known that the EM for GMM algorithm suffers from non-Gaussian distribution shapes, outliers and high-dimensionality. In this paper, we design a new…