Régis Lengellé

Orcid: 0000-0002-3538-3799

According to our database1, Régis Lengellé authored at least 28 papers between 1993 and 2023.

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

Timeline

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Bibliography

2023
Sparse Decomposition of Heart Rate Using a Bernoulli-Gaussian Model: Application to Sleep Apnoea Detection.
Sensors, April, 2023

2021
Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.
Comput. Methods Programs Biomed., 2021

2017
Domain Adaptation Transfer Learning by Kernel Representation Adaptation.
Proceedings of the Pattern Recognition Applications and Methods, 2017

Domain Adaptation Transfer Learning by SVM Subject to a Maximum-Mean-Discrepancy-like Constraint.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2014
Kernel Hierarchical Agglomerative Clustering - Comparison of Different Gap Statistics to Estimate the Number of Clusters.
Proceedings of the ICPRAM 2014, 2014

2013
Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models.
IEEE Signal Process. Lett., 2013

Learning General Gaussian Kernel Hyperparameters for SVR.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012
Dictionary adaptation for online prediction of time series data with kernels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
Maximum Margin One Class Support Vector Machines for multiclass problems.
Pattern Recognit. Lett., 2011

Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2009
Sequential Maximum Gradient Optimization for Support Vector detection.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
F-SVR: A new learning algorithm for support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2008

2006
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG.
IEEE Trans. Signal Process., 2006

2005
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
An improved training algorithm for nonlinear kernel discriminants.
IEEE Trans. Signal Process., 2004

A sequential approach for multi-class discriminant analysis with kernels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Kernel second-order discriminants versus support vector machines.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Bayes-optimal detectors design using relevant second-order criteria.
IEEE Signal Process. Lett., 2002

Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors.
Proceedings of the 11th European Signal Processing Conference, 2002

On equivalence between detectors obtained from second-order measures of performance.
Proceedings of the 11th European Signal Processing Conference, 2002

2000
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Data-driven design and complexity control of time-frequency detectors.
Signal Process., 1999

1998
Structural risk minimization for reduced-bias time-frequency-based detectors design.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method.
Signal Process., 1997

1996
Training MLPs layer by layer using an objective function for internal representations.
Neural Networks, 1996

1995
Performance analysis of a MLP weight initialization algorithm.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1993
Initializing back propagation networks with prototypes.
Neural Networks, 1993


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