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Franck Dufrenois
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2020 – today
- 2025
- [j7]Franck Dufrenois
, Khalide Jbilou:
A support vector machine formulation for linear and kernel discriminant analysis. Neurocomputing 622: 129273 (2025) - [i3]Alaeddine Zahir, Franck Dufrenois, Khalide Jbilou, Ahmed Ratnani:
Trace Ratio vs Ratio Trace methods for multi dimensionality reduction. CoRR abs/2502.11074 (2025) - 2024
- [i2]Mohammed Bouallala, Franck Dufrenois, Khalide Jbilou, Ahmed Ratnani:
Trace Ratio Based Manifold Learning with Tensor Data. CoRR abs/2402.09072 (2024) - 2022
- [j6]Franck Dufrenois:
Incremental and compressible kernel null discriminant analysis. Pattern Recognit. 127: 108642 (2022) - [c12]Amine Khatib, Franck Dufrenois, Mohamed Hamlich, Denis Hamad
Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems. SADASC 2022: 34-50 - [i1]Franck Dufrenois, Alaa El Ichi, Khalide Jbilou:
Multilinear Discriminant Analysis using a new family of tensor-tensor products. CoRR abs/2203.00967 (2022)
2010 – 2019
- 2019
- [c11]Franck Dufrenois, Denis Hamad:
Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets. IJCNN 2019: 1-8 - 2016
- [j5]Franck Dufrenois, Jean-Charles Noyer
One class proximal support vector machines. Pattern Recognit. 52: 96-112 (2016) - [c10]Franck Dufrenois, Jean-Charles Noyer
A null space based one class kernel Fisher discriminant. IJCNN 2016: 3203-3210 - 2015
- [j4]Franck Dufrenois:
A One-Class Kernel Fisher Criterion for Outlier Detection. IEEE Trans. Neural Networks Learn. Syst. 26(5): 982-994 (2015) - [c9]Franck Dufrenois, Jean-Charles Noyer
Generalized eigenvalue proximal support vector machines for outlier description. IJCNN 2015: 1-9 - 2013
- [j3]Franck Dufrenois, Jean-Charles Noyer
Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix. IEEE Trans. Neural Networks Learn. Syst. 24(2): 262-273 (2013) - 2012
- [c8]Franck Dufrenois, Jean-Charles Noyer
Discriminative kernel hat matrix: A new tool for automatic outlier identification. IJCNN 2012: 1-8 - 2011
- [c7]Franck Dufrenois, Jean-Charles Noyer
Discriminative Hat Matrix: A new tool for outlier identification and linear regression. IJCNN 2011: 777-784
2000 – 2009
- 2009
- [j2]Franck Dufrenois, Johan Colliez, Denis Hamad:
Bounded Influence Support Vector Regression for Robust Single-Model Estimation. IEEE Trans. Neural Networks 20(11): 1689-1706 (2009) - [c6]Franck Dufrenois, Jean-Charles Noyer
A kernel hat matrix based rejection criterion for outlier removal in support vector regression. IJCNN 2009: 736-743 - 2007
- [c5]Franck Dufrenois, Johan Colliez, Denis Hamad:
Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences. CVPR 2007 - [c4]Franck Dufrenois, Johan Colliez, Denis Hamad:
Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. IJCNN 2007: 586-591 - [c3]Franck Dufrenois, Denis Hamad:
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. IJCNN 2007: 1289-1294 - 2006
- [j1]Johan Colliez, Franck Dufrenois, Denis Hamad:
Optic flow estimation by support vector regression. Eng. Appl. Artif. Intell. 19(7): 761-768 (2006) - [c2]Johan Colliez, Franck Dufrenois, Denis Hamad:
Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation. BMVC 2006: 1229-1238 - 2001
- [c1]Franck Dufrenois:
Ellipse Fitting with Uncertainty and Fuzzy Decision Stage for Detection. Application in Videomicroscopy. ECSQARU 2001: 432-443
Coauthor Index
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