Paul Honeine
Paul Honeine
Professor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen Normandie
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TitleCited byYear
Online prediction of time series data with kernels
C Richard, JCM Bermudez, P Honeine
IEEE Transactions on Signal Processing 57 (3), 1058-1067, 2008
Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model
J Chen, C Richard, P Honeine
IEEE Transactions on Signal Processing 61 (2), 480-492, 2012
Testing stationarity with surrogates: A time-frequency approach
P Borgnat, P Flandrin, P Honeine, C Richard, J Xiao
IEEE Transactions on Signal Processing 58 (7), 3459-3470, 2010
Online kernel principal component analysis: A reduced-order model
P Honeine
IEEE transactions on pattern analysis and machine intelligence 34 (9), 1814-1826, 2011
Preimage problem in kernel-based machine learning
P Honeine, C Richard
IEEE Signal Processing Magazine 28 (2), 77-88, 2011
Nonlinear Estimation of Material Abundances in Hyperspectral Images With L1-Norm Spatial Regularization
J Chen, C Richard, P Honeine
IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2654-2665, 2014
Wireless sensor networks in biomedical: Body area networks
P Honeine, F Mourad, M Kallas, H Snoussi, H Amoud, C Francis
International Workshop on Systems, Signal Processing and their Applications …, 2011
Target tracking using machine learning and Kalman filter in wireless sensor networks
S Mahfouz, F Mourad-Chehade, P Honeine, J Farah, H Snoussi
IEEE Sensors Journal, 2014
Geometric unmixing of large hyperspectral images: A barycentric coordinate approach
P Honeine, C Richard
IEEE Transactions on Geoscience and Remote Sensing 50 (6), 2185-2195, 2011
Nonnegative least-mean-square algorithm
J Chen, C Richard, JCM Bermudez, P Honeine
IEEE Transactions on Signal Processing 59 (11), 5225-5235, 2011
On-line nonlinear sparse approximation of functions
P Honeine, C Richard, JCM Bermudez
2007 IEEE International Symposium on Information Theory, 956-960, 2007
Hyperspectral unmixing in presence of endmember variability, nonlinearity, or mismodeling effects
A Halimi, P Honeine, JM Bioucas-Dias
IEEE Transactions on Image Processing 25 (10), 4565-4579, 2016
ell_p-norms in One-Class Classification for Intrusion Detection in SCADA Systems
P Nader, P Honeine, P Beauseroy
Industrial Informatics, IEEE Transactions on 10 (4), 2308-2317, 2014
Distributed regression in sensor networks with a reduced-order kernel model
P Honeine, M Essoloh, C Richard, H Snoussi
IEEE GLOBECOM 2008-2008 IEEE Global Telecommunications Conference, 1-5, 2008
Analyzing sparse dictionaries for online learning with kernels
P Honeine
IEEE Transactions on Signal Processing 63 (23), 6343-6353, 2015
A closed-form solution for the pre-image problem in kernel-based machines
P Honeine, C Richard
Journal of Signal Processing Systems 65 (3), 289-299, 2011
Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals
M Kallas, C Francis, L Kanaan, D Merheb, P Honeine, H Amoud
2012 19th International Conference on Telecommunications (ICT), 1-5, 2012
Maximum correntropy unscented filter
X Liu, B Chen, B Xu, Z Wu, P Honeine
International Journal of Systems Science 48 (8), 1607-1615, 2017
Variants of non-negative least-mean-square algorithm and convergence analysis
J Chen, C Richard, JCM Bermudez, P Honeine
IEEE Transactions on Signal Processing 62 (15), 3990-4005, 2014
Solving the pre-image problem in kernel machines: A direct method
P Honeine, C Richard
2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009
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