Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection - researchr publication authors

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HanQin Cai, Jialin Liu 0003, Wotao Yin. Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 16977-16989, 2021. [doi]

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