L.M.P.A
Laboratoire de Mathématiques Pures et Appliquées
Joseph Liouville

Evenements du jeudi 14 juin

  • Groupe de travail approximation et analyse matricielle du 14 juin

    Fadi Dornaika (University of the Basque Country UPV/EHU)

    Contribution to machine learning tools : Applications to visual data analysis

    The first part of the talk addresses some of my recent contributions to semi-supervised learning. Data driven graphs and semi-supervised learning constitute a cornerstone of many machine learning algorithms. More precisely, we have introduced a Two phases weighted Regularized Least square method which provides adaptive and informative graphs. We have also proposed inductive and flexible schemes for graph-based semi-supervised learning that provide non-linear projections. The performance of the proposed methods is studied on real image datasets including faces and objects.

    The second part of the talk will briefly present some of my recent works that exploit machine learning tools for visual data analysis. These are as follows : object detection in aerial images, vision-based vehicle localization, parking lot occupancy detection, image based age estimation, assessing face attractiveness, Five Psychology Traits from videos, and Driver Drowsiness detection in videos.

    Informations : 13:30 - 14:30 B014
  • Assemblée Générale du LMPA

    Informations : 14/06/2018 14:00 - 14/06/2018 17:00 B014
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