Pierre Houdouin — accepted AI-conference papers

2023

Regularized EM Algorithm

Pierre Houdouin, Esa Ollila, Frédéric Pascal

ICASSP 2023accepted

Expectation-Maximization (EM) algorithm is a widely used iterative algorithm for computing (local) maximum likelihood estimate (MLE). It can be used in an extensive range of problems, including the clustering of data based on the Gaussian mixture model (GMM). Numerical instability and convergence pr…

Cited by 0 Source ↗Scholar ↗

2022

Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data

Pierre Houdouin, Andrew Wang, Matthieu Jonckheere, Frédéric Pascal

ICASSP 2022accepted

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 the underlying Gaussian assumption that is not robust. To fill this gap, this paper presents a new robust discriminant an…

Cited by 0 Source ↗Scholar ↗