504 citations · 690 across the 13 of their papers we have counts for
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stat.ML2017★ 58 cited
Randomized Nonnegative Matrix Factorization
N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn +1
Nonnegative matrix factorization (NMF) is a powerful tool for data mining. However, the emergence of `big data' has severely challenged our ability to compute this fundamental deco…
stat.ML2016★ 9 cited
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries
Bethany Lusch, Eric C. Chi, J. Nathan Kutz
We consider -way data arrays and low-rank tensor factorizations where the time mode is coded as a sparse linear combination of temporal elements from an over-complete library. O…