Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace Robust PCA

David Grob, Mehmet Vurkac, Agnieszka Miguel, Mirka Mandich, Rana Bayrakcsmith. Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace Robust PCA. In Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu, editors, 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. pages 919-928, IEEE, 2018. [doi]

Abstract

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