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start [2018/02/05 12:30]
jm [Short summary]
start [2018/06/20 08:57] (current)
guilherme
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-====== Geometry, imaGes, learninG and alGorithms ======+====== Geometry, imaGes, learninGand alGorithms ======
  
 The research group **Geometry, imaGes, learninG and alGorithms** (G4) is a member of the [[http://​limos.isima.fr/​spip.php?​article9|Decision Support Models and Algorithms (MAAD)]] group. We are all part of the [[http://​limos.isima.fr/​spip.php?​article7|LIMOS lab]], in the Cézeaux campus of [[http://​uca.fr|Université Clermont Auvergne]], near Clermont Ferrand, France. The research group **Geometry, imaGes, learninG and alGorithms** (G4) is a member of the [[http://​limos.isima.fr/​spip.php?​article9|Decision Support Models and Algorithms (MAAD)]] group. We are all part of the [[http://​limos.isima.fr/​spip.php?​article7|LIMOS lab]], in the Cézeaux campus of [[http://​uca.fr|Université Clermont Auvergne]], near Clermont Ferrand, France.
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 The research topics of this group are centered on n-dimensional data modeling and analysis, from both methodology and application points of view. The team's interdisciplinary skills result in projects that cover a wide range of scientific topics including Geometry, Data Mining, Machine Learning, Data Structures, and their interactions for several fields of application. The research topics of this group are centered on n-dimensional data modeling and analysis, from both methodology and application points of view. The team's interdisciplinary skills result in projects that cover a wide range of scientific topics including Geometry, Data Mining, Machine Learning, Data Structures, and their interactions for several fields of application.
  
-For a brief description of our main research areas, we cite+For a brief description of our main research areas, we mention
  
   * **Machine learning**: We address several ​ aspects of machine learning, from the design of kernel methods to manifold learning and deep learning. Current research include modeling and simulation of spatio-temporal variations and dynamics using manifolds, understanding of the GANs approaches and their link to Optimal Transport, Siamese network for multimodal learning and autoencoders or solving multiclass SVM at the cost of a binary one, and dealing with indefinite kernels or large datasets.   * **Machine learning**: We address several ​ aspects of machine learning, from the design of kernel methods to manifold learning and deep learning. Current research include modeling and simulation of spatio-temporal variations and dynamics using manifolds, understanding of the GANs approaches and their link to Optimal Transport, Siamese network for multimodal learning and autoencoders or solving multiclass SVM at the cost of a binary one, and dealing with indefinite kernels or large datasets.
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   * **Image and video processing**:​ We address both the methodological (definition of image analysis methods in n dimension) and the  application points of view (tracking of ballistics in thermal videos of volcanoes, design of computer assisted maps for visually impaired people, ...).   * **Image and video processing**:​ We address both the methodological (definition of image analysis methods in n dimension) and the  application points of view (tracking of ballistics in thermal videos of volcanoes, design of computer assisted maps for visually impaired people, ...).
  
-National collaborations include: +National collaborations include: LITIS (Rouen), LMV (Clermont-Ferrand),​ INRIA Sophia-Antipolis,​ Creatis (Lyon), IMT (Toulouse), LIFL (Lille) and IGN (Paris).
- +
-LITIS (Rouen), LMV (Clermont-Ferrand),​ INRIA Sophia-Antipolis,​ Creatis (Lyon), IMT (Toulouse), LIFL (Lille) and IGN (Paris).+
  
 International collaborations include: International collaborations include:
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   * Norway: University of Bergen   * Norway: University of Bergen
   * USA: University of California Los Angeles, Florida State University, Ohio State University, Rice University, and University of Maryland   * USA: University of California Los Angeles, Florida State University, Ohio State University, Rice University, and University of Maryland
 +
 ===== News ===== ===== News =====
   * **January 2018:** first public version of [[http://​activmap.limos.fr|ACTIVmap]] website   * **January 2018:** first public version of [[http://​activmap.limos.fr|ACTIVmap]] website