Robust informed split gradient NMF using αβ-divergence for source apportionment
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Antoine Abche | Matthieu Puigt | Gilles Delmaire | Gilles Roussel | Clément Dorffer | Robert Chreiky
[1] Matthieu Puigt,et al. Bound constrained weighted NMF for industrial source apportionment , 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).
[2] M. Puigt,et al. Non-negative Matrix Factorization under equality constraints—a study of industrial source identification , 2014 .
[3] Nicolas Dobigeon,et al. Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization , 2014, IEEE Transactions on Image Processing.
[4] Matthieu Puigt,et al. Blind mobile sensor calibration using an informed nonnegative matrix factorization with a relaxed rendezvous model , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Antonio J. Plaza,et al. A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing , 2014, IEEE Signal Processing Magazine.
[6] Bernt Schiele,et al. Introducing a weighted non-negative matrix factorization for image classification , 2003, Pattern Recognit. Lett..
[7] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[8] Jérôme Idier,et al. Algorithms for Nonnegative Matrix Factorization with the β-Divergence , 2010, Neural Computation.
[9] Jean-Luc Starck,et al. Sparse and Non-Negative BSS for Noisy Data , 2013, IEEE Transactions on Signal Processing.
[10] Dan Hu,et al. Non‐negative Matrix Factorization Algorithms and Applications , 2014 .
[11] Xuan Li,et al. Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization , 2012, 2012 IEEE 12th International Conference on Data Mining.
[12] Cédric Richard,et al. Split gradient method for nonnegative matrix factorization , 2010, 2010 18th European Signal Processing Conference.
[13] Emmanuel Vincent,et al. The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation , 2009, ICA.
[14] M. Viana,et al. Inter-comparison of receptor models for PM source apportionment: Case study in an industrial area , 2008 .
[15] Peter Filzmoser,et al. Robust Multivariate Methods in Chemometrics , 2020, Comprehensive Chemometrics.
[16] A. Ben Hamza,et al. Reconstruction of reflectance spectra using robust nonnegative matrix factorization , 2006, IEEE Transactions on Signal Processing.
[17] Matthieu Puigt,et al. Blind Calibration of Mobile Sensors Using Informed Nonnegative Matrix Factorization , 2015, LVA/ICA.
[18] Cédric Févotte,et al. Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[19] Paul D. Gader,et al. A Signal Processing Perspective on Hyperspectral Unmixing , 2014 .
[20] Jérôme Idier,et al. Algorithms for nonnegative matrix factorization with the beta-divergence , 2010, ArXiv.
[21] Émilie Chouzenoux,et al. Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale , 2011, Traitement du Signal.
[22] 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..
[23] Chris H. Q. Ding,et al. Robust nonnegative matrix factorization using L21-norm , 2011, CIKM '11.
[24] Sergio Cruces,et al. Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization , 2011, Entropy.
[25] Andrzej Cichocki,et al. Non-negative matrix factorization with alpha-divergence , 2008, Pattern Recognit. Lett..
[26] Antoine Abche,et al. Split Gradient Method for Informed Non-negative Matrix Factorization , 2015, LVA/ICA.