CORDIS Project
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EngageS aims to enhance symmetry detection in various fields such as machine learning and computer graphics. It addresses theoretical challenges and develops new algorithms for efficient symmetry detection, particularly in big data applications.
Symmetry is a phenomenon that appears in many different contexts.
Algorithmic symmetry detection and exploitation is the concept of finding intrinsic symmetries of a given object and then using these symmetries to our advantage.
Application areas of algorithmic symmetry detection and exploitation range from convolutional neural networks in machine learning to computer graphics, chemical data bases and beyond.
In contrast to this widespread use, our understanding of the theoretical foundation (na…
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RHEINLAND-PFALZISCHE TECHNISCHE UNIVERSITAT
Germany, Kaiserslautern
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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