no code implementations • 22 Nov 2023 • Fahdi Kanavati, Lucy Katsnith, Masayuki Tsuneki
Essentially, we propose a modification that allows nonlinear PCA to learn not just the second, but also the first rotation -- by maximising both variance and statistical independence.