Extending HALS and ANLS to convolutive NMF yields performance advantages over multiplicative updates on large-scale synthetic and real data.
On the complexity of nonnegative matrix factorization
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Two heuristic algorithms (fixed-point from penalized KKT and staged ADAM) are proposed for symmetric multi-type orthogonal NMF tri-factorization and evaluated on synthetic noisy data and citation networks for recovery and downstream tasks.
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Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates
Extending HALS and ANLS to convolutive NMF yields performance advantages over multiplicative updates on large-scale synthetic and real data.