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Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo
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Oznake: computer science;machine learning;collaborative filtering;optimization methods
This paper describes gradient methods based on a scaled metric on the Grassmann manifold for low-rank matrix completion. The proposed methods significantly improve canonical gradient methods especially on ill-conditioned matrices, while maintaining established global convegence and exact recovery gu ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 1
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