no code implementations • 19 Sep 2017 • Jiali Mei, Yohann de Castro, Yannig Goude, Jean-Marc Azaïs, Georges Hébrail
Motivated by the reconstruction and the prediction of electricity consumption, we extend Nonnegative Matrix Factorization~(NMF) to take into account side information (column or row features).
no code implementations • ICML 2017 • Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail
Motivated by electricity consumption reconstitution, we propose a new matrix recovery method using nonnegative matrix factorization (NMF).
no code implementations • 5 Oct 2016 • Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail
Motivated by electricity consumption metering, we extend existing nonnegative matrix factorization (NMF) algorithms to use linear measurements as observations, instead of matrix entries.