### 10 papers:

- CIKM-2014-ChenC #data type #incremental #matrix #named
- GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams (XC, KSC), pp. 1119–1128.
- ICML-c2-2014-TrigeorgisBZS #learning
- A Deep Semi-NMF Model for Learning Hidden Representations (GT, KB, SZ, BWS), pp. 1692–1700.
- ICPR-2012-LiuCSTN #learning #multi #performance #problem #recursion #scalability
- Recursive NMF: Efficient label tree learning for large multi-class problems (LL, PMC, SS, PNT, AN), pp. 2148–2151.
- KDD-2012-LiLP #coordination #performance #using
- Fast bregman divergence NMF using taylor expansion and coordinate descent (LL, GL, HP), pp. 307–315.
- ICPR-2008-AndriyashinPJ #dependence
- Illuminant dependence of PCA, NMF and NTF in spectral color imaging (AA, JP, TJ), pp. 1–4.
- ICPR-2008-LiZ #algorithm #fixpoint #matrix #named #performance
- FastNMF: A fast monotonic fixed-point non-negative Matrix Factorization algorithm with high ease of use (LL, YJZ), pp. 1–4.
- SIGIR-2008-DingLLP #clustering #probability #using
- Posterior probabilistic clustering using NMF (CHQD, TL, DL, WP), pp. 831–832.
- ICML-2007-LiCLW #novel #orthogonal
- A novel orthogonal NMF-based belief compression for POMDPs (XL, WKWC, JL, ZW), pp. 537–544.
- SIGIR-2006-DingLP #algorithm #equivalence #hybrid
- NMF and PLSI: equivalence and a hybrid algorithm (CHQD, TL, WP), pp. 641–642.
- SIGIR-2005-GaussierG
- Relation between PLSA and NMF and implications (ÉG, CG), pp. 601–602.