TI-FPCA: Effective and Interpretable Dimensionality Reduction with Transform-Invariant Functional Principal Component Analysis
Communications in computer and information science, pp. 142–157
Authors 1
-
Affiliation as printed
FH Aachen - University of Applied Sciences, Jülich, 52428, Germany
Cited by 2 stored of 2
2 results
No patents citing this paper on Lens.org (checked 2026-10-06).