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This paper aims at motivating the use of geometrically informed Machine Learning algorithms for Defense applications by providing intuitions with respect to their underlying mechanisms and by shedding light on successful applications such as remote s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c64e212c909a9355412da541579c75b0
https://hal.archives-ouvertes.fr/hal-03309807/file/geomML_intro.pdf
https://hal.archives-ouvertes.fr/hal-03309807/file/geomML_intro.pdf