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Paul Honeine

10
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961917
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Online Kernel Nonnegative Matrix Factorization

Fei Zhu , Paul Honeine
Signal Processing, 2017, 131, pp.143 - 153
Article dans une revue hal-01965046v1
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Bi-objective Nonnegative Matrix Factorization: Linear Versus Kernel-based Models

Fei Zhu , Paul Honeine
IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (7), pp.4012 - 4022. ⟨10.1109/TGRS.2016.2535298⟩
Article dans une revue hal-01965048v1
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Pixel-wise linear/non linear nonnegative matrix factorization for unmixing of hyperspectral data

Fei Zhu , Paul Honeine , Jie Chen
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.4737-4741, ⟨10.1109/ICASSP40776.2020.9053239⟩
Communication dans un congrès hal-03088297v1
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ADMM for Maximum Correntropy Criterion

Fei Zhu , Abderrahim Halimi , Paul Honeine , Badong Chen , Nanning Zheng
Proc. 28th (INNS and IEEE-CIS) International Joint Conference on Neural Networks, 2016, Vancouver, Canada. pp.1420-1427, ⟨10.1109/IJCNN.2016.7727365⟩
Communication dans un congrès hal-01965916v1
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Eviter la malédiction de pré-image : application à la factorisation en matrices non négatives à noyaux

Paul Honeine , Fei Zhu
Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France
Communication dans un congrès hal-01965984v1
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Pareto front of bi-objective kernel-based nonnegative matrix factorization

Fei Zhu , Paul Honeine
Proc. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2015, Bruges, Belgium. pp.585 - 590
Communication dans un congrès hal-01965982v1
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Online nonnegative matrix factorization based on kernel machines

Fei Zhu , Paul Honeine
Proc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.2381 - 2385, ⟨10.1109/EUSIPCO.2015.7362811⟩
Communication dans un congrès hal-01965987v1
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Kernel non-negative matrix factorization without the pre-image problem

Fei Zhu , Paul Honeine , Maya Kallas
24th IEEE Workshop on Machine Learning for Signal Processing, MLSP 2014, Sep 2014, Reims, France. ⟨10.1109/MLSP.2014.6958910⟩
Communication dans un congrès hal-01965998v1