Pierre-Alexandre Hébert

Background Subtraction Based on a New Fuzzy Mixture of Gaussians for Moving Object Detection

Ali Darwich, Pierre-Alexandre Hébert, André Bigand, 2018, J. Imaging.

Dissimilarity-Based Classification of Multidimensional Signals by Conjoint Elastic Matching: Application to Phytoplanktonic Species Recognition

Pierre-Alexandre Hébert, Émilie Caillault, Guillaume Wacquet, 2009, EANN.

Fuzzy multidimensional scaling

Thierry Denoeux, Pierre-Alexandre Hébert, Marie-Hélène Masson, 2006, Comput. Stat. Data Anal..

Semi-supervised K-way Spectral Clustering using Pairwise Constraints

Pierre-Alexandre Hébert, Denis Hamad, Guillaume Wacquet, 2011, IJCCI.

Constrained spectral embedding for K-way data clustering

Pierre-Alexandre Hébert, Denis Hamad, Guillaume Wacquet, 2013, Pattern Recognit. Lett..

Graphical Toolbox for Clustering and Classification of Data Frames [R package RclusTool version 0.91.3]

Pierre-Alexandre Hébert, Guillaume Wacquet, Émilie Caillault Poisson, 2020 .

Nonparametric rank-based statistics and significance tests for fuzzy data

Thierry Denoeux, Pierre-Alexandre Hébert, Marie-Hélène Masson, 2005, Fuzzy Sets Syst..

Clustering Evaluation in Feature Space

Pierre-Alexandre Hébert, Denis Hamad, Alissar Nasser, 2007, ICANN.

Semi-supervised K-Way Spectral Clustering with Determination of Number of Clusters

Pierre-Alexandre Hébert, Guillaume Wacquet, Émilie Poisson-Caillault, 2013 .