DI: Decision, Image

To develop innovative methods in the area of data analysis and information fusion, reasoning with uncertainty, statistical learning, image analysis and computer vision.

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Unsupervised learning

  • Co-clustering
  • Clustering of time series
  • Constrained clustering

Supervised learning

  • Flexible regression and et discrimination
  • Multilabel classification, label ranking
  • Cautious classification
  • Weakly supervised learning
  • Classifier fusion

Uncertainty reasoning

  • Belief functions theory
  • Imprecise probabilities

3D automated perception

  • Robotic Vision
  • Scene Understanding
  • Objects Detection and Tracking

Video library

FR SHIC 3272

Collegium UTC/CNRS