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.