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An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification
Many signal and image processing applications, including texture analysis, radar detection or EEG signal classification, require the computation of a centroid from a set of covariance matrices. The most popular approach consists in considering the center of mass. While efficient, this estimator is not robust to outliers arising from the …