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Computational Geometric Learning



The CG Learning project is a Specific Targeted Research Project (STREP) funded by the FET (Future and Emerging Technologies) unit of the European Commission (EC) - priority ICT (Information, Society, Technologies) - within the 7th Framework Programme of the EC under contract No. 255827.

The Computational Geometric Learning project aims at extending the success story of geometric algorithms with guarantees to high-dimensions. This is not a straightforward task. For many problems, no efficient algorithms exist that compute the exact solution in high dimensions. This behavior is commonly called the curse of dimensionality. We try to address the curse of dimensionality by focusing on inherent structure in the data like sparsity or low intrinsic dimension, and by resorting to fast approximation algorithms.


For more information please refer to the CG Learning site.