Extending HALS and ANLS to convolutive NMF yields performance advantages over multiplicative updates on large-scale synthetic and real data.
Algorithms for nonnegative matrix and tensor factorizations: A unified view based on block coordinate descent framework
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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.