D. Geiger and R. A. M. Pereira. The outlier process. In Proc. IEEE Workshop on Neural Networks for Signal Processing, pages 61--69, 1991. Home/Search Document Not in Database Summary Related Articles Check |
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A Framework for Robust Subspace Learning - Torre (Correct)
....has addressed the robustness of subspace methods. In particular, we describe the method of Xu and Yuille [70] in detail and quantitatively compare it with our method and standard PCA. We show how linear (and multi linear in general) methods can be modified by the introduction of an outlier process [6, 26] that can account for outliers at the pixel level. A robust M estimation method is derived and details of the algorithm, its complexity, and its convergence properties are described. Like all M estimation methods, the robust subspace learning (RSL) formulation has an inherent scale parameter that ....
D. Geiger and R. Pereira. The outlier process. In IEEE Workshop on Neural Networks for Signal Proc., pages 61--69, 1991.
Estimating Image Motion in Layers: The "Skin and Bones" Model - Ju, al. (1999) (2 citations) (Correct)
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D. Geiger and R. A. M. Pereira. The outlier process. In Proc. IEEE Workshop on Neural Networks for Signal Processing, pages 61--69, 1991.
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