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cs.LG2022
A differentiable short-time Fourier transform with respect to the window length
Maxime Leiber, Axel Barrau, Yosra Marnissi +1
In this paper, we revisit the use of spectrograms in neural networks, by making the window length a continuous parameter optimizable by gradient descent instead of an empirically t…
cs.LG2020
Generalized mean shift with triangular kernel profile
Sébastien Razakarivony, Axel Barrau
The mean shift algorithm is a popular way to find modes of some probability density functions taking a specific kernel-based shape, used for clustering or visual tracking. Since it…