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cs.LG2020
Time Series Source Separation with Slow Flows
Edouard Pineau, Sébastien Razakarivony, Thomas Bonald
In this paper, we show that slow feature analysis (SFA), a common time series decomposition method, naturally fits into the flow-based models (FBM) framework, a type of invertible…
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…