A robust kernel density estimator based mean-shift algorithm

We propose a robustification of the mean-shift algorithm. We understand robustness in the statistical sense as the deviation from the nominal, distributional assumption. The derivation of the robust mean-shift vector is based on a robust version of the kernel density estimator (KDE), where the KDE i... View More