CORDIS Project
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The Computational Geometric Learning project focuses on developing algorithms for processing high-dimensional geometric data. It aims to overcome the challenges of dimensionality by leveraging data structures and approximation techniques, ultimately creating a software library for practical applications in science and…
High dimensional geometric data are ubiquitous in science and engineering, and thus processing and analyzing them is a core task in these disciplines.
The Computational Geometric Learning project (CG Learning) aims at extending the success story of geometric algorithms with guarantees, as achieved in the CGAL library and the related EU funded research projects, to spaces of high dimensions.
This is not a straightforward task.
For many problems, no efficient algorithms exist that compute the ex…
FRIEDRICH-SCHILLER-UNIVERSITÄT JENA
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Switzerland, Zuerich
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Germany, Berlin
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Germany, Dortmund
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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