Gilles Fleury

According to our database1, Gilles Fleury authored at least 53 papers between 2000 and 2014.

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

Timeline

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Bibliography

2014
Relabeling and Summarizing Posterior Distributions in Signal Decomposition Problems When the Number of Components is Unknown.
IEEE Trans. Signal Process., 2014

2013
Comments on "Joint Bayesian Model Selection and Estimation of Noisy Sinusoids Via Reversible Jump MCMC".
IEEE Trans. Signal Process., 2013

2012
Direction of Arrival Estimation using EM-ESPRIT with Nonuniform Arrays.
Circuits Syst. Signal Process., 2012

Compressed Sensing Dynamic Reconstruction in Rotational Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Compressed sensing subtracted rotational angiography with multiple sparse penalty.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Summarizing posterior distributions in signal decomposition problems when the number of components is unknown.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Signal parameters estimation using time-frequency representation for Laser Doppler Anemometry.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression.
IEEE Trans. Signal Process., 2011

Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties.
IEEE Signal Process. Lett., 2011

New Nonuniform Transmission and ADPCM Coding System for Improving Both Signal-to-Noise Ratio and Bit Rate.
IEEE Signal Process. Lett., 2011

Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
On the joint Bayesian model selection and estimation of sinusoids via Reversible Jump MCMC in low SNR situations.
Proceedings of the 10th International Conference on Information Sciences, 2010

A kernel-based graphical model for diffusion tensor registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Unsupervised Classification of Skeletal Fibers Using Diffusion Maps.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics.
Proceedings of the Information Processing in Medical Imaging, 2009

Time-frequency characterisation for electric load monitoring.
Proceedings of the 17th European Signal Processing Conference, 2009

RJMCMC point process sampler for single sensor source separation: An application to electric load monitoring.
Proceedings of the 17th European Signal Processing Conference, 2009

Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Lattice Algorithm for Adaptive Stable Identification and Robust Reconstruction of Nonstationary AR Processes With Missing Observations.
IEEE Trans. Signal Process., 2008

A Statistical Inference Comparison for Measurement Estimation Using Stochastic Simulation Techniques.
IEEE Trans. Instrum. Meas., 2008

Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
A Convex Semi-definite Positive Framework for DTI Estimation and Regularization.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006
Kriging for indirect measurement with application to flow measurement.
IEEE Trans. Instrum. Meas., 2006

Markov chain Monte Carlo posterior density approximation for a groove-dimensioning purpose.
IEEE Trans. Instrum. Meas., 2006

Bootstrap methods for a measurement estimation problem.
IEEE Trans. Instrum. Meas., 2006

Nonlinear Model Selection - Application to an Indirect Inductive Measurement of Conductivity.
IEEE Trans. Instrum. Meas., 2006

A model selection approach to signal denoising using Kullback's symmetric divergence.
Signal Process., 2006

New fast recursive algorithms for simultaneous reconstruction and identification of AR processes with missing observations.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence.
Signal Process., 2005

Smoothing parameter selection in nonparametric regression using an improved kullback information criterion.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

2004
Pareto-Optimal Methods for Gene Ranking.
J. VLSI Signal Process., 2004

A consistent nonparametric spectral estimator for randomly sampled signals.
IEEE Trans. Signal Process., 2004

Indirect measurement within dynamical context: probabilistic approach to deal with uncertainty.
IEEE Trans. Instrum. Meas., 2004

Regularizing the effect of input noise injection in feedforward neural networks training.
Neural Comput. Appl., 2004

Gene discovery using Pareto depth sampling distributions.
J. Frankl. Inst., 2004

Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays.
EURASIP J. Adv. Signal Process., 2004

Pareto Depth Sampling Distributions for Gene Ranking.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Bias of the corrected KIC for underfitted regression models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A new training set-based regularization for regression techniques.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Particle filter and Gaussian-mixture filter efficiency evaluation for terrain-aided navigation.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Minimum-entropy, PDF approximation, and kernel selection for measurement estimation.
IEEE Trans. Instrum. Meas., 2003

Model selection using cross validation Bayesian predictive densities.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

A small sample model selection criterion based on Kullback's symmetric divergence.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Simplified LMS algorithms in the case of non-uniformly sampled signals.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
On learning feedforward neural networks with noise injection into inputs.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Recursive non parametric spectral estimation from irregularly sampled observations.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Real time Continuous AR parameter estimation from randomly sampled observations.
Proceedings of the IEEE International Conference on Acoustics, 2002

Clustering gene expression signals from retinal microarray data.
Proceedings of the IEEE International Conference on Acoustics, 2002

Propagation model choice for rapid SAR measurement.
Proceedings of the 11th European Signal Processing Conference, 2002

Pareto analysis for gene filtering in microarray experiments.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
A cost function for learning feedforward neural networks subject to noisy inputs.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

2000
Model selection via worst-case criterion for nonlinear bounded-error estimation.
IEEE Trans. Instrum. Meas., 2000


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