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Project
Clifford algebra methods for efficient multidimensional data analysis
This proposal intends to join the complementary expertises of mathematics and Clifford algebra on the one hand
and signal processing and machine learning on the other hand in order to develop:
A. Clifford-based filtering: A new theory of geometrical multidimensional filters
B. Learning: Clifford algebras in discovering data geometry
with applications in saliency detection and art-historical analysis.
Date:1 Sep 2015 → 31 Oct 2021
Keywords:signal processing, multidimensional data, machine learning, Clifford algebras
Disciplines:Other information and computing sciences, Information sciences, Modelling, Programming languages, Distributed computing, Analysis, Theoretical computer science, Signal processing, Scientific computing, Multimedia processing, Information systems, Signal processing not elsewhere classified, Applied mathematics in specific fields, Computer architecture and networks, Visual computing, Biological system engineering