Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications

25 Aug 2017 Benjamin D. Haeffele Rene Vidal

Recently, convex formulations of low-rank matrix factorization problems have received considerable attention in machine learning. However, such formulations often require solving for a matrix of the size of the data matrix, making it challenging to apply them to large scale datasets... (read more)

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