Régis Lengellé

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 4

Top Topics

Transfer Learning

Top Venues

IEEE Signal Process. Lett.

ICPRAM (Revised Selected Papers)

Publications

Bruno Muller, Régis Lengellé
Sparse Decomposition of Heart Rate Using a Bernoulli-Gaussian Model: Application to Sleep Apnoea Detection. Sensors 23 (7) (2023)
Bruno Muller, Régis Lengellé
Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate. Comput. Methods Programs Biomed. 208 (2021)
Xiaoyi Chen, Régis Lengellé
Domain Adaptation Transfer Learning by Kernel Representation Adaptation. ICPRAM (Revised Selected Papers) (2017)
Xiaoyi Chen, Régis Lengellé
Domain Adaptation Transfer Learning by SVM Subject to a Maximum-Mean-Discrepancy-like Constraint. ICPRAM (2017)
Na Li, Nicolas Lefebvre, Régis Lengellé
Kernel Hierarchical Agglomerative Clustering - Comparison of Different Gap Statistics to Estimate the Number of Clusters. ICPRAM (2014)
Chafic Saidé, Régis Lengellé, Paul Honeine, Roger Achkar
Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models. IEEE Signal Process. Lett. 20 (5) (2013)
Fahed Abdallah, Hichem Snoussi, Hicham Laanaya, Régis Lengellé
Learning General Gaussian Kernel Hyperparameters for SVR. GSI (2013)
Ibtissam Constantin, Régis Lengellé
Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm. Complex Adaptive Systems (2013)
Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar
Dictionary adaptation for online prediction of time series data with kernels. SSP (2012)
Sébastien Lecomte, Régis Lengellé, Cédric Richard, François Capman, Bertrand Ravera
Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -. AVSS (2011)
Mireille Tohmé, Régis Lengellé
Maximum Margin One Class Support Vector Machines for multiclass problems. Pattern Recognit. Lett. 32 (13) (2011)
Mireille Tohmé, Régis Lengellé
Sequential Maximum Gradient Optimization for Support Vector detection. EUSIPCO (2009)
Mireille Tohmé, Régis Lengellé
F-SVR: A new learning algorithm for support vector regression. ICASSP (2008)
Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG. IEEE Trans. Signal Process. 54 (12) (2006)
Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. ICASSP (4) (2005)
Fahed Abdallah, Cédric Richard, Régis Lengellé
A sequential approach for multi-class discriminant analysis with kernels. ICASSP (5) (2004)
Fahed Abdallah, Cédric Richard, Régis Lengellé
An improved training algorithm for nonlinear kernel discriminants. IEEE Trans. Signal Process. 52 (10) (2004)
Fahed Abdallah, Cédric Richard, Régis Lengellé
Kernel second-order discriminants versus support vector machines. ICASSP (6) (2003)
Cédric Richard, Régis Lengellé, Fahed Abdallah
Bayes-optimal detectors design using relevant second-order criteria. IEEE Signal Process. Lett. 9 (1) (2002)
Julien Gosme, Paulo Gonçalves, Cédric Richard, Régis Lengellé
Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors. EUSIPCO (2002)
Fahed Abdallah, Cédric Richard, Régis Lengellé
On equivalence between detectors obtained from second-order measures of performance. EUSIPCO (2002)
Cédric Richard, Régis Lengellé
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals. ICASSP (2000)
Cédric Richard, Régis Lengellé
Data-driven design and complexity control of time-frequency detectors. Signal Process. 77 (1) (1999)
Cédric Richard, Régis Lengellé
Structural risk minimization for reduced-bias time-frequency-based detectors design. ICASSP (1998)
Cédric Richard, Régis Lengellé
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method. Signal Process. 60 (2) (1997)
Régis Lengellé, Thierry Denoeux
Training MLPs layer by layer using an objective function for internal representations. Neural Networks 9 (1) (1996)
Mohamed Karouia, Régis Lengellé, Thierry Denoeux
Performance analysis of a MLP weight initialization algorithm. ESANN (1995)
Thierry Denoeux, Régis Lengellé
Initializing back propagation networks with prototypes. Neural Networks 6 (3) (1993)