Associate team LANDER
Latent Analysis, Adversarial Networks, and DimEnsionality Reduction
LANDER is a project-team started in January 2019 with French and Australian partners. The team federates researchers from Queensland University of Technology and Univ. of Queensland, Brisbane; La Trobe Univ. and Swinburne Univ., Melbourne; Univ. of Adelaide; and Univ. of Caen, France. The collaboration is based on three main points, in statistics, machine learning and applications:
clustering and classification (mixture models),
regression and dimensionality reduction (mixture of regression models and non parametric techniques) and
high impact applications (neuroimaging, satellite and radar imaging, and planetology).