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--- en:projects [2010/11/18 10:39] – grandval
+++ en:projects [2018/04/05 14:01] (current) – [National Projects] grandval
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 This project is funded by the Information and Communication Technologies division of the European Commission, Cognitive Systems and Robotics unit, under the 7th Research Framework Program.
 ===== PASCAL II =====
 The [[http://pascallin.ecs.soton.ac.uk/|PASCAL]] Network of Excellence has created a distributed institute pioneering principled methods of pattern analysis, statistical modeling, and computational learning.[[http://pascallin2.ecs.soton.ac.uk/|PASCAL2]] refocuses the Institute towards the emerging challenges created by the ever expanding applications of adaptive systems technology and their central role in the development of large scale cognitive systems.
+This project is funded by the Information and Communication Technologies division of the European Commission, Cognitive Systems and Robotics unit, under the 7th Research Framework Program.
 ====== National Projects ======
+===== DESSTOPT =====
-===== ClasSel =====
+DESSTOPT (Deep Semi-Supervised and Transfer Learning with Optimal Transport) is a CNRS PEPS IA3 academic research project (from the math and computer science instutes, INSMI and INS2I, in collaboration with AMIES) aiming at using techniques based on optimal transport  for semi-supervised and transfer learning.
-[[http://www.hds.utc.fr/classel/doku.php|ClasSel]] is an ANR academic research project aiming at devising methods producing knowledge from data, by producing data summaries in a form readily amenable to interpretation. Data arrays are  abstracted through the inference of homogeneous block-clusters, grouping jointly examples and variables. The project focuses on the fundamental problem of model selection in this type of models.
+===== Everest =====
+[[https://www.hds.utc.fr/everest/doku.php|Everest]] is an ANR academic research project aiming at learning high-level representations of sparse tensors.
+===== ClasSel =====
+[[http://www.hds.utc.fr/classel/doku.php|ClasSel]] ended in 2012. It was an ANR academic research project aiming at devising methods producing knowledge from data, by producing data summaries in a form readily amenable to interpretation. Data arrays are  abstracted through the inference of homogeneous block-clusters, grouping jointly examples and variables. The project focuses on the fundamental problem of model selection in this type of models.

UMR CNRS 7253

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