Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery

This paper presents a remarkably simple, yet powerful, algorithm for robust Principal Component Analysis (PCA). In the proposed approach, an outlier is set apart from an inlier by comparing their coherence with the rest of the data points... (read more)

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METHOD TYPE
PCA
Dimensionality Reduction