Franck Dufrenois

Khalide Jbilou

Neurocomputing, 2025

2024

Trace Ratio Based Manifold Learning with Tensor Data.

[BibT_eX]

[DOI]

CoRR, 2024

2022

Incremental and compressible kernel null discriminant analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multilinear Discriminant Analysis using a new family of tensor-tensor products.

[BibT_eX]

[DOI]

Alaa El Ichi

Khalide Jbilou

CoRR, 2022

Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems.

[BibT_eX]

[DOI]

Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2019

Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

2016

One class proximal support vector machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

A null space based one class kernel Fisher discriminant.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

A One-Class Kernel Fisher Criterion for Outlier Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Generalized eigenvalue proximal support vector machines for outlier description.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

Discriminative kernel hat matrix: A new tool for automatic outlier identification.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Discriminative Hat Matrix: A new tool for outlier identification and linear regression.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009

Bounded Influence Support Vector Regression for Robust Single-Model Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

A kernel hat matrix based rejection criterion for outlier removal in support vector regression.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

2007

Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Optic flow estimation by support vector regression.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2006

Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2006, 2006

2001

Ellipse Fitting with Uncertainty and Fuzzy Decision Stage for Detection. Application in Videomicroscopy.

[BibT_eX]

[DOI]