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Gilles Fleury
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2010 – 2019
- 2014
- [j22]Alireza Roodaki, Julien Bect
, Gilles Fleury:
Relabeling and Summarizing Posterior Distributions in Signal Decomposition Problems When the Number of Components is Unknown. IEEE Trans. Signal Process. 62(16): 4091-4104 (2014) - 2013
- [j21]Alireza Roodaki, Julien Bect
Comments on "Joint Bayesian Model Selection and Estimation of Noisy Sinusoids Via Reversible Jump MCMC". IEEE Trans. Signal Process. 61(14): 3653-3655 (2013) - 2012
- [j20]Carine El Kassis, José Picheral
Direction of Arrival Estimation using EM-ESPRIT with Nonuniform Arrays. Circuits Syst. Signal Process. 31(5): 1787-1807 (2012) - [c31]Gregory Baral-Baron, Elisabeth Lahalle, Gilles Fleury, Xavier Lacondemine, Jean-Pierre Schlotterbeck:
Signal parameters estimation using time-frequency representation for Laser Doppler Anemometry. EUSIPCO 2012: 2318-2322 - [c30]Alireza Roodaki, Julien Bect
Summarizing posterior distributions in signal decomposition problems when the number of components is unknown. ICASSP 2012: 3873-3876 - [c29]Hélène Langet
Compressed sensing subtracted rotational angiography with multiple sparse penalty. ISBI 2012: 884-887 - [c28]Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios:
Compressed Sensing Dynamic Reconstruction in Rotational Angiography. MICCAI (1) 2012: 223-230 - 2011
- [j19]Elisabeth Lahalle, Gilles Fleury, Rawad F. Zgheib:
New Nonuniform Transmission and ADPCM Coding System for Improving Both Signal-to-Noise Ratio and Bit Rate. IEEE Signal Process. Lett. 18(3): 149-152 (2011) - [j18]Arnau Tibau Puig, Ami Wiesel, Gilles Fleury, Alfred O. Hero III:
Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties. IEEE Signal Process. Lett. 18(6): 363-366 (2011) - [j17]Arnau Tibau Puig, Ami Wiesel, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Gilles Fleury, Alfred O. Hero III:
Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression. IEEE Trans. Signal Process. 59(9): 4447-4458 (2011) - [c27]Hélène Langet
Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography. MICCAI (1) 2011: 97-104 - 2010
- [c26]Alireza Roodaki, Julien Bect, Gilles Fleury:
An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC. EUSIPCO 2010: 1048-1052 - [c25]Aristeidis Sotiras
A kernel-based graphical model for diffusion tensor registration. ISBI 2010: 524-527 - [c24]Alireza Roodaki, Julien Bect, Gilles Fleury:
On the joint Bayesian model selection and estimation of sinusoids via Reversible Jump MCMC in low SNR situations. ISSPA 2010: 5-8
2000 – 2009
- 2009
- [c23]Radhouène Neji, Nikos Paragios, Gilles Fleury, Jean-Philippe Thiran
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information. CVPR 2009: 2168-2175 - [c22]Mabrouka El-Guedri, Julien Bect, Christian Lajaunie, Gilles Fleury, Redouane Seraoui, Thomas Garcia, Alexandre Girard:
RJMCMC point process sampler for single sensor source separation: An application to electric load monitoring. EUSIPCO 2009: 1062-1066 - [c21]Mabrouka El-Guedri, Guy D'Urso, Christian Lajaunie, Gilles Fleury:
Time-frequency characterisation for electric load monitoring. EUSIPCO 2009: 2278-2282 - [c20]Radhouène Neji, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. IPMI 2009: 14-25 - [c19]Radhouène Neji, Georg Langs
Unsupervised Classification of Skeletal Fibers Using Diffusion Maps. ISBI 2009: 410-413 - 2008
- [j16]José Ismael de la Rosa Vargas
A Statistical Inference Comparison for Measurement Estimation Using Stochastic Simulation Techniques. IEEE Trans. Instrum. Meas. 57(10): 2169-2180 (2008) - [j15]Rawad F. Zgheib, Gilles Fleury, Elisabeth Lahalle:
Lattice Algorithm for Adaptive Stable Identification and Robust Reconstruction of Nonstationary AR Processes With Missing Observations. IEEE Trans. Signal Process. 56(7-1): 2746-2754 (2008) - [c18]Radhouène Neji, Gilles Fleury, Jean-François Deux, Alain Rahmouni, Guillaume Bassez, Alexandre Vignaud, Nikos Paragios:
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle. ISBI 2008: 923-926 - 2007
- [c17]Radhouène Neji, Noura Azzabou, Nikos Paragios, Gilles Fleury:
A Convex Semi-definite Positive Framework for DTI Estimation and Regularization. ISVC (1) 2007: 220-229 - 2006
- [j14]Maïza Bekara, Luc Knockaert, Abd-Krim Seghouane
A model selection approach to signal denoising using Kullback's symmetric divergence. Signal Process. 86(7): 1400-1409 (2006) - [j13]José Ismael de la Rosa Vargas
Markov chain Monte Carlo posterior density approximation for a groove-dimensioning purpose. IEEE Trans. Instrum. Meas. 55(1): 112-122 (2006) - [j12]Emmanuel Vázquez, Gilles Fleury, Eric Walter:
Kriging for indirect measurement with application to flow measurement. IEEE Trans. Instrum. Meas. 55(1): 343-349 (2006) - [j11]José Ismael de la Rosa Vargas
Bootstrap methods for a measurement estimation problem. IEEE Trans. Instrum. Meas. 55(3): 820-827 (2006) - [j10]Marie-Eve Davoust, Gilles Fleury:
Nonlinear Model Selection - Application to an Indirect Inductive Measurement of Conductivity. IEEE Trans. Instrum. Meas. 55(6): 2055-2061 (2006) - [c16]Rawad F. Zgheib, Gilles Fleury, Elisabeth Lahalle:
New fast recursive algorithms for simultaneous reconstruction and identification of AR processes with missing observations. EUSIPCO 2006: 1-5 - 2005
- [j9]Abd-Krim Seghouane
A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence. Signal Process. 85(7): 1405-1417 (2005) - [c15]Maïza Bekara, Bezza Hafidi, Gilles Fleury:
Smoothing parameter selection in nonparametric regression using an improved kullback information criterion. ISSPA 2005: 887-890 - 2004
- [j8]Alfred O. Hero III, Gilles Fleury, Alan J. Mears, Anand Swaroop
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays. EURASIP J. Adv. Signal Process. 2004(1): 43-52 (2004) - [j7]Gilles Fleury, Alfred O. Hero III, Sepidarseh Zareparsi, Anand Swaroop
Gene discovery using Pareto depth sampling distributions. J. Frankl. Inst. 341(1-2): 55-75 (2004) - [j6]Abd-Krim Seghouane
Regularizing the effect of input noise injection in feedforward neural networks training. Neural Comput. Appl. 13(3): 248-254 (2004) - [j5]Hana Baili, Gilles Fleury:
Indirect measurement within dynamical context: probabilistic approach to deal with uncertainty. IEEE Trans. Instrum. Meas. 53(6): 1449-1454 (2004) - [j4]Arnaud Rivoira, Gilles Fleury:
A consistent nonparametric spectral estimator for randomly sampled signals. IEEE Trans. Signal Process. 52(9): 2383-2395 (2004) - [j3]Alfred O. Hero III, Gilles Fleury:
Pareto-Optimal Methods for Gene Ranking. J. VLSI Signal Process. 38(3): 259-275 (2004) - [c14]Mathieu Flament, Gilles Fleury, Marie-Eve Davoust:
Particle filter and Gaussian-mixture filter efficiency evaluation for terrain-aided navigation. EUSIPCO 2004: 605-608 - [c13]Youness Naji, Laurent Le Brusquet, Gilles Fleury:
A new training set-based regularization for regression techniques. EUSIPCO 2004: 629-632 - [c12]Maïza Bekara, Gilles Fleury:
Bias of the corrected KIC for underfitted regression models. ICASSP (2) 2004: 517-520 - [c11]Alfred O. Hero III, Sepidarseh Zareparsi, Anand Swaroop, Gilles Fleury:
Pareto Depth Sampling Distributions for Gene Ranking. ISBI 2004: 65-68 - 2003
- [j2]José Ismael de la Rosa Vargas
Minimum-entropy, PDF approximation, and kernel selection for measurement estimation. IEEE Trans. Instrum. Meas. 52(4): 1009-1020 (2003) - [c10]Elisabeth Lahalle, Pablo Faus Perez, Gilles Fleury:
Simplified LMS algorithms in the case of non-uniformly sampled signals. ICASSP (6) 2003: 81-84 - [c9]Abd-Krim Seghouane, Maïza Bekara, Gilles Fleury:
A small sample model selection criterion based on Kullback's symmetric divergence. ICASSP (6) 2003: 145-148 - [c8]Maïza Bekara, Gilles Fleury:
Model selection using cross validation Bayesian predictive densities. ISSPA (2) 2003: 507-510 - 2002
- [c7]Gilles Fleury, Alfred O. Hero III, Shigeo Yoshida, Todd A. Carter, Carrolee Barlow, Anand Swaroop:
Pareto analysis for gene filtering in microarray experiments. EUSIPCO 2002: 1-4 - [c6]Olivier Merckel, Gilles Fleury, Jean-Charles Bolomey:
Propagation model choice for rapid SAR measurement. EUSIPCO 2002: 1-4 - [c5]Arnaud Rivoira, Yassir Moudden, Gilles Fleury:
Real time Continuous AR parameter estimation from randomly sampled observations. ICASSP 2002: 1725-1728 - [c4]Gilles Fleury, Alfred O. Hero III, Shigeo Yoshida
Clustering gene expression signals from retinal microarray data. ICASSP 2002: 4024-4027 - [c3]Arnaud Rivoira, Gilles Fleury:
Recursive non parametric spectral estimation from irregularly sampled observations. DSP 2002: 799-802 - [c2]Abd-Krim Seghouane
On learning feedforward neural networks with noise injection into inputs. NNSP 2002: 149-158 - 2001
- [c1]Abd-Krim Seghouane
A cost function for learning feedforward neural networks subject to noisy inputs. ISSPA 2001: 386-389 - 2000
- [j1]Sofiane Brahim-Belhouari, Michel Kieffer
Model selection via worst-case criterion for nonlinear bounded-error estimation. IEEE Trans. Instrum. Meas. 49(3): 653-658 (2000)
Coauthor Index
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