Régis Lengellé

发表

On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals

Cédric Richard, Régis Lengellé, C. Richard, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A Novel Approach to Real Time Tire-Road Grip and Slip Monitoring

Christian Chabanon, Régis Lengellé, Arnaud Andrieux, 2008 .

Processing of cartographies from steam generator tubes using eddy current testing with an absolute coil

Régis Lengellé, P. Attaoui, B. Benoist, 1992 .

Structural risk minimization for reduced-bias time-frequency-based detectors design

Cédric Richard, Régis Lengellé, C. Richard, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising

Cédric Richard, Régis Lengellé, Ibtissam Constantin, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Interpolation of Stationary Non-Linear Time Series by an Optimized Neural Network

Régis Lengellé, P. Gaillard, F. Qendro, 1993 .

Joint recursive implementation of time - frequency representations and their modified version by the reassignment method

Cédric Richard, Régis Lengellé, C. Richard, 1997, Signal Process..

Learning General Gaussian Kernel Hyperparameters for SVR

Hichem Snoussi, Fahed Abdallah, Régis Lengellé, 2013, GSI.

Fusion d'avis d'experts et caractérisation de l'expertise. Application à la détection de transitoires dans les signaux physiologiques

Cédric Richard, Régis Lengellé, Geoffrey Viardot, 2001 .

Performance analysis of a MLP weight initialization algorithm

Thierry Denoeux, Régis Lengellé, Mohamed Karouia, 1995, ESANN.

Online Prediction of Time Series Data With Kernels

Paul Honeine, Cédric Richard, Régis Lengellé, 2009, IEEE Transactions on Signal Processing.

An improved training algorithm for nonlinear kernel discriminants

Cédric Richard, Fahed Abdallah, Régis Lengellé, 2004, IEEE Transactions on Signal Processing.

Domain Adaptation Transfer Learning by SVM Subject to a Maximum-Mean-Discrepancy-like Constraint

Régis Lengellé, Xiaoyi Chen, R. Lengellé, 2017, ICPRAM.

Data-driven design and complexity control of time-frequency detectors

Cédric Richard, Régis Lengellé, C. Richard, 1999, Signal Process..

Domain Adaptation Transfer Learning by Kernel Representation Adaptation

Régis Lengellé, Xiaoyi Chen, R. Lengellé, 2017, ICPRAM.

Performance analysis of kernel adaptive filters based on RLS algorithm

Régis Lengellé, Ibtissam Constantin, R. Lengellé, 2013, 2013 25th International Conference on Microelectronics (ICM).

Kernel second-order discriminants versus support vector machines

Cédric Richard, Fahed Abdallah, Régis Lengellé, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

1 - Algorithmes séquentiels pour l'analyse de données par méthodes à noyau

Cédric Richard, Régis Lengellé, Fahed Abdallah, 2004 .

Initializing back propagation networks with prototypes

Thierry Denoeux, Régis Lengellé, R. Lengellé, 1993, Neural Networks.

An Eddy Current Model Based on Parametric Description of Induced Current Loops

Régis Lengellé, B. Benoist, P. Gaillard, 1997 .

F-SVR: A new learning algorithm for support vector regression

Régis Lengellé, Mireille Tohmé, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors

Cédric Richard, Régis Lengellé, Paulo Gonçalves, 2002, 2002 11th European Signal Processing Conference.

Nonintrusive turbomachine blade vibration measurement system

Régis Lengellé, Pierre Beauseroy, R. Lengellé, 2007 .

Kernel Hierarchical Agglomerative Clustering - Comparison of Different Gap Statistics to Estimate the Number of Clusters

Nicolas Lefebvre, Régis Lengellé, Na Li, 2014, ICPRAM.

Optimisation de critères de contraste et des performances en détection

Cédric Richard, Régis Lengellé, Fahed Abdallah, 2001 .

A sequential approach for multi-class discriminant analysis with kernels

Cédric Richard, Fahed Abdallah, Régis Lengellé, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automatic Construction of Multilayer Networks for Non Linear Regression

Régis Lengellé, Thierry Denœux, 1993 .

Algorithmes séquentiels pour l'analyse de données par méthodes à noyau Sequential algorithms for data analysis with kernel-based methods

Fahed Abdallah, Régis Lengellé, Cédric Richard, 2004 .

Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models

Paul Honeine, Régis Lengellé, Roger Achkar, 2013, IEEE Signal Processing Letters.

Maximum Margin One Class Support Vector Machines for multiclass problems

Régis Lengellé, Mireille Tohmé, R. Lengellé, 2011, Pattern Recognit. Lett..

Sequential Maximum Gradient Optimization for Support Vector detection

Régis Lengellé, Mireille Tohmé, R. Lengellé, 2009, 2009 17th European Signal Processing Conference.

Pattern Recognition Using Neural Networks. Comparison to the Nearest Neighbour Rule

Régis Lengellé, P. Gaillard, N. Schaltenbrand, 1989 .

On equivalence between detectors obtained from second-order measures of performance

Cédric Richard, Fahed Abdallah, Régis Lengellé, 2002, 2002 11th European Signal Processing Conference.

Nonlinear adaptive filtering using kernel‐based algorithms with dictionary adaptation

Paul Honeine, Régis Lengellé, Cedric Richard, 2015 .

Training MLPs layer by layer using an objective function for internal representations

Régis Lengellé, Thierry Denoeux, R. Lengellé, 1996, Neural Networks.

Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -

Cédric Richard, Régis Lengellé, François Capman, 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

New results on the relation between tyre–road longitudinal stiffness and maximum available grip for motor car

Christian Chabanon, Régis Lengellé, Arnaud Andrieux, 2010 .

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate

Régis Lengellé, Bruno Muller, R. Lengellé, 2021, Comput. Methods Programs Biomed..

Bayes-Optimal Detectors Design Using Relevant

Cédric Richard, Fahed Abdallah, Régis Lengellé, 2002 .

Edge Detection on Eddy Current Image to Increase Defect Characterization

Régis Lengellé, P. Gaillard, P. Attaoui, 1996 .

Joint recursive implementation of time-frequency representations and their modified version by the reassignment method

Régis Lengellé, Cedric Richard, C. Richard, 1997 .

Bayes-optimal detectors design using relevant second-order criteria

Fahed Abdallah, Régis Lengellé, Cedric Richard, 2002, IEEE Signal Processing Letters.