Detecting Changes with the Robust Competitive Detector

摘要

The concept of the competitive filter is reminded and its ability to find changes in 1D data is extended by adding the robustness feature. The use of two affine approximators, one at the left and one at the right side of the considered data point, makes it possible to detect the points in which the function and its derivative changes, by subtracting the outputs from the approximators and analyzing their errors. The features of the detector are demonstrated on artificial as well as real-life data, with promising results.