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cs.LG2024
An optimal pairwise merge algorithm improves the quality and consistency of nonnegative matrix factorization
Youdong Guo, Timothy E. Holy
Non-negative matrix factorization (NMF) is a key technique for feature extraction and widely used in source separation. However, existing algorithms may converge to poor local mini…
cs.LG2024★ 1 cited
GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization
Youdong Guo, Timothy E. Holy
Non-negative matrix factorization (NMF) is an important tool in signal processing and widely used to separate mixed sources into their components. Algorithms for NMF require that t…