21. November 2018
ARI Seminar Room, Wohllebengasse 12-14, Groundfloor
Abstract: Pavol Harar - University of Technology, Brno
In this talk we introduce the Redistributor. A direct algorithm for automatic transformation of data from arbitrary empirical source distribution into chosen target distribution. The method is based on approximation of source cumulative distribution function and is suitable also for machine learning scenarios. Transformation is continuous, piecewise smooth, monotonic and invertible. We demonstrate its usage on mel-spectrogram data used to train a neural network.