Paper available at: https://doi.org/10.1016/j.bspc.2020.102073 If you find this package useful, we kindly ask you to cite it in your work: Vinícius R. Carvalho ...
Abstract: Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the ...
Abstract: Nonnegative matrix factorization (NMF) is a powerful tool for signal processing and machine learning. Geometrically, it can be interpreted as the problem of finding a conic hull, which ...
FOSDEM 2026 Amid growing interest in digital sovereignty and getting data out of the corporate cloud and into organizations' ownership, the Matrix open communication protocol is thriving. The project ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results