Franck Dufrenois

According to our database1, Franck Dufrenois authored at least 20 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Trace Ratio Based Manifold Learning with Tensor Data.
CoRR, 2024

2022
Incremental and compressible kernel null discriminant analysis.
Pattern Recognit., 2022

Multilinear Discriminant Analysis using a new family of tensor-tensor products.
CoRR, 2022

Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems.
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.
Proceedings of the International Joint Conference on Neural Networks, 2019

2016
One class proximal support vector machines.
Pattern Recognit., 2016

A null space based one class kernel Fisher discriminant.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
A One-Class Kernel Fisher Criterion for Outlier Detection.
IEEE Trans. Neural Networks Learn. Syst., 2015

Generalized eigenvalue proximal support vector machines for outlier description.
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.
IEEE Trans. Neural Networks Learn. Syst., 2013

2012
Discriminative kernel hat matrix: A new tool for automatic outlier identification.
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.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009
Bounded Influence Support Vector Regression for Robust Single-Model Estimation.
IEEE Trans. Neural Networks, 2009

A kernel hat matrix based rejection criterion for outlier removal in support vector regression.
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.
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.
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.
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.
Eng. Appl. Artif. Intell., 2006

Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation.
Proceedings of the British Machine Vision Conference 2006, 2006

2001
Ellipse Fitting with Uncertainty and Fuzzy Decision Stage for Detection. Application in Videomicroscopy.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001


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