Split Gradient Method for Informed Non-negative Matrix Factorization
暂无分享,去创建一个
Antoine Abche | Matthieu Puigt | Gilles Delmaire | Gilles Roussel | Robert Chreiky | Dominique Courcot
[1] Matthieu Puigt,et al. Enhanced NMF initialization using a physical model for pollution source apportionment , 2014, ESANN.
[2] M. Puigt,et al. Non-negative Matrix Factorization under equality constraints—a study of industrial source identification , 2014 .
[3] Cédric Richard,et al. Split gradient method for nonnegative matrix factorization , 2010, 2010 18th European Signal Processing Conference.
[4] David Mary,et al. Regularized split gradient method for nonnegative matrix factorization , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Pierre Comon,et al. Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .
[6] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[7] Jérôme Idier,et al. Algorithms for Nonnegative Matrix Factorization with the β-Divergence , 2010, Neural Computation.
[8] Chein-I Chang,et al. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..
[9] Dan Hu,et al. Non‐negative Matrix Factorization Algorithms and Applications , 2014 .
[10] Paul D. Gader,et al. A Signal Processing Perspective on Hyperspectral Unmixing , 2014 .
[11] Emmanuel Vincent,et al. The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation , 2009, ICA.
[12] M. Viana,et al. Inter-comparison of receptor models for PM source apportionment: Case study in an industrial area , 2008 .
[13] Xiangliang Zhang,et al. Multiplicative Algorithms for Constrained Non-negative Matrix Factorization , 2012, 2012 IEEE 12th International Conference on Data Mining.
[14] Antonio J. Plaza,et al. A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing , 2014, IEEE Signal Processing Magazine.
[15] Matthieu Puigt,et al. Bound constrained weighted NMF for industrial source apportionment , 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).