Manifold-driven Grouping of Skeletal Muscle Fibers (2009)
Neji, Radhouene, Deux, Jean-Francois, Besbes, Ahmed, Komodakis, Nikos, Langs, Georg, Maatouk, Mezri, ...
In this report, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. To this end, we propose the use of...
Manifold-driven Grouping of Skeletal Muscle Fibers (2009)
Neji, Radhouene, Deux, Jean-Francois, Besbes, Ahmed, Komodakis, Nikos, Langs, Georg, Maatouk, Mezri, ...
In this report, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. To this end, we propose the use of...
Manifold-driven Grouping of Skeletal Muscle Fibers (2009)
Neji, Radhouene, Deux, Jean-Francois, Besbes, Ahmed, Komodakis, Nikos, Langs, Georg, Maatouk, Mezri, ...
In this report, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. To this end, we propose the use of...
Manifold-driven Grouping of Skeletal Muscle Fibers (2009)
Neji, Radhouene, Deux, Jean-Francois, Besbes, Ahmed, Komodakis, Nikos, Langs, Georg, Maatouk, Mezri, ...
In this report, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. To this end, we propose the use of...
Diffusion Tensor Registration Using Probability Kernels and Discrete Optimization (2009)
Sotiras, Aristeidis, Neji, Radhouène, Komodakis, Nikos, Maatouk, Mezri, Rahmouni, Alain, ...
In this report, we propose a novel diffusion tensor registration algorithm based on a discrete optimization approach in a Reproducing Kernel Hilbert Space (RKHS) setting. Our approach encodes both...
Diffusion Tensor Registration Using Probability Kernels and Discrete Optimization (2009)
Sotiras, Aristeidis, Neji, Radhouène, Komodakis, Nikos, Maatouk, Mezri, Rahmouni, Alain, ...
In this report, we propose a novel diffusion tensor registration algorithm based on a discrete optimization approach in a Reproducing Kernel Hilbert Space (RKHS) setting. Our approach encodes both...
ADAPTIVE TRANSMISSION FOR LOSSLESS IMAGE RECONSTRUCTION (2009)
Lahalle, Elisabeth, Fleury, Gilles, Zgheib, Rawad
This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a...
ADAPTIVE TRANSMISSION FOR LOSSLESS IMAGE RECONSTRUCTION (2009)
Lahalle, Elisabeth, Fleury, Gilles, Zgheib, Rawad
This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a...
ADAPTIVE TRANSMISSION FOR LOSSLESS IMAGE RECONSTRUCTION (2009)
Lahalle, Elisabeth, Fleury, Gilles, Zgheib, Rawad
This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a...
ADAPTIVE TRANSMISSION FOR LOSSLESS IMAGE RECONSTRUCTION (2009)
Lahalle, Elisabeth, Fleury, Gilles, Zgheib, Rawad
This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a...
FRENCH POPULATION EXPOSURE TO 50 HZ MAGNETIC FIELDS: INTERMEDIATE RESULTS (2009)
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
For the last thirty years, the electricity related 50 Hz magnetic fields (MF) have been suspected of being responsible for several pathologies, in particular childhood leukemia [1]. The most recent...
FRENCH POPULATION EXPOSURE TO 50 HZ MAGNETIC FIELDS: INTERMEDIATE RESULTS (2009)
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
For the last thirty years, the electricity related 50 Hz magnetic fields (MF) have been suspected of being responsible for several pathologies, in particular childhood leukemia [1]. The most recent...
EXPOSITION DE LA POPULATION FRANÇAISE AUX CHAMPS MAGNÉTIQUES 50 Hz : RÉSULTATS PARTIELS (2009)
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
Les champs magnétiques (CM) alternatifs de fréquence 50 Hz, liés à l'électricité en particulier, sont suspectés depuis une trentaine d'années d'être responsables de pathologies, notamment de...
French Population Exposure to 50 Hz Magnetic Fields: Intermediate Results (2009)
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
In 1979, a study indicated that childhood cancers might be linked with extremely low frequency (ELF) magnetic field [1]. Leaning on numerous epidemiological studies, the International Agency for...
EXPOSITION DE LA POPULATION FRANÇAISE AUX CHAMPS MAGNÉTIQUES 50 Hz : RÉSULTATS PARTIELS (2009)
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
Les champs magnétiques (CM) alternatifs de fréquence 50 Hz, liés à l'électricité en particulier, sont suspectés depuis une trentaine d'années d'être responsables de pathologies, notamment de...
French Population Exposure to 50 Hz Magnetic Fields: Intermediate Results (2009)
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
In 1979, a study indicated that childhood cancers might be linked with extremely low frequency (ELF) magnetic field [1]. Leaning on numerous epidemiological studies, the International Agency for...
El Habachi, Aimad, Conil, Emmanuelle, Hadjem, Abdehamid, Vazquez, Emmanuel, Fleury, Gilles, Wiart, Joe
To protect people from Electromagnetic Fields (EMF), ICNIRP has defined limits. The fundamental ones are the Basic Restrictions (BRs) [1]. The BRs determine the maximum values (averaged over the...
El Habachi, Aimad, Conil, Emmanuelle, Hadjem, Abdehamid, Vazquez, Emmanuel, Fleury, Gilles, Wiart, Joe
Les systèmes fondés sur des technologies liées aux champs électromagnétiques (EM) sont de plus en plus répandus. La question des effets possibles sur la santé dus à ces technologies sont...
Analyse statistique de la puissance absorbée par le corps entier en radiofréquence (2009)
El Habachi, Aimad, Conil, Emmanuelle, Fleury, Gilles, Vazquez, Emmanuel, Hadjem, Abdelhamid, Fai Wong, Man, ...
Dans ce papier, nous proposons une identification des facteurs morphologiques qui peuvent impacter le Débit d'Absorption Spécifique (DAS) du corps entier dans le cas d'une onde plan. Cette étude...
El Habachi, Aimad, Conil, Emmanuelle, Hadjem, Abdehamid, Vazquez, Emmanuel, Fleury, Gilles, Wiart, Joe
To protect people from Electromagnetic Fields (EMF), ICNIRP has defined limits. The fundamental ones are the Basic Restrictions (BRs) [1]. The BRs determine the maximum values (averaged over the...
El Habachi, Aimad, Conil, Emmanuelle, Hadjem, Abdehamid, Vazquez, Emmanuel, Fleury, Gilles, Wiart, Joe
Les systèmes fondés sur des technologies liées aux champs électromagnétiques (EM) sont de plus en plus répandus. La question des effets possibles sur la santé dus à ces technologies sont...
Analyse statistique de la puissance absorbée par le corps entier en radiofréquence (2009)
El Habachi, Aimad, Conil, Emmanuelle, Fleury, Gilles, Vazquez, Emmanuel, Hadjem, Abdelhamid, Fai Wong, Man, ...
Dans ce papier, nous proposons une identification des facteurs morphologiques qui peuvent impacter le Débit d'Absorption Spécifique (DAS) du corps entier dans le cas d'une onde plan. Cette étude...
UNSUPERVISED CLASSIFICATION OF SKELETAL FIBERS USING DIFFUSION MAPS (2009)
Neji, Radhouène, Langs, Georg, Deux, Jean-François, Maatoouk, Mezri, Rahmouni, Alain, Bassez, Guillaume, ...
In this paper, we propose an application of diffusion maps to fiber tract clustering in the human skeletal muscle. To this end, we define a metric between fiber tracts that encompasses both diffusion...
Neji, Radhouène, Paragios, Nikos, Fleury, Gilles, Thiran, Jean-Philippe, Langs, Georg
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spatial and diffusion...
Neji, Radhouène, Besbes, Ahmed, Komodakis, Nikos, Maatoouk, Mezri, Deux, Jean-François, Rahmouni, Alain, ...
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear programming...
UNSUPERVISED CLASSIFICATION OF SKELETAL FIBERS USING DIFFUSION MAPS (2009)
Neji, Radhouène, Langs, Georg, Deux, Jean-François, Maatoouk, Mezri, Rahmouni, Alain, Bassez, Guillaume, ...
In this paper, we propose an application of diffusion maps to fiber tract clustering in the human skeletal muscle. To this end, we define a metric between fiber tracts that encompasses both diffusion...
Neji, Radhouène, Paragios, Nikos, Fleury, Gilles, Thiran, Jean-Philippe, Langs, Georg
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spatial and diffusion...
Neji, Radhouène, Besbes, Ahmed, Komodakis, Nikos, Maatoouk, Mezri, Deux, Jean-François, Rahmouni, Alain, ...
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear programming...
EL GUEDRI, Mabrouka, LAJAUNIE, Christian, FLEURY, Gilles, D'URSO, Guy
Une méthode d'estimation des composantes élémentaires de la consommation quotidienne du chauffage électrique (puissance active) est proposée. Le problème générique est celui de la séparation...
SUPPORT VECTOR DRIVEN MARKOV RANDOM FIELDS TOWARDS SEGMENTATION OF THE HUMAN SKELETAL MUSCLE (2008)
Neji, Radhouène, Fleury, Gilles, Bassez, G., Rahmouni, A., Vignaud, A., ...
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we extend linear...
SUPPORT VECTOR DRIVEN MARKOV RANDOM FIELDS TOWARDS SEGMENTATION OF THE HUMAN SKELETAL MUSCLE (2008)
Neji, Radhouène, Fleury, Gilles, Bassez, G., Rahmouni, A., Vignaud, A., ...
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we extend linear...
ADAPTIVE TRANSMISSION FOR LOSSLESS IMAGE RECONSTRUCTION (2008)
Lahalle, Elisabeth, Fleury, Gilles, Zgheib, Rawad
This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a...
ADAPTIVE TRANSMISSION FOR LOSSLESS IMAGE RECONSTRUCTION (2008)
Lahalle, Elisabeth, Fleury, Gilles, Zgheib, Rawad
This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a...
Neji, Radhouène, Fleury, Gilles, Rahmouni, A., Bassez, G., Vignaud, A., ...
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we extend linear...
Neji, Radhouène, Fleury, Gilles, Rahmouni, A., Bassez, G., Vignaud, A., ...
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we extend linear...
Zgheib, Rawad, Fleury, Gilles, Lahalle, Elisabeth
This paper deals with the problem of adaptive reconstruction and identification of non stationary AR processes with randomly missing observations. Existent methods use a direct realization of the...
Gerardo, Miramontes, Lyle, Mcbride, Fleury, Gilles, Davoust, Marie-Eve
The purpose of this paper is to present the comparison of different techniques for making statistical inference about a measurement system model. This comparison involves results when two main...
Zgheib, Rawad, Fleury, Gilles, Lahalle, Elisabeth
This paper deals with the problem of adaptive reconstruction and identification of non stationary AR processes with randomly missing observations. Existent methods use a direct realization of the...
Gerardo, Miramontes, Lyle, Mcbride, Fleury, Gilles, Davoust, Marie-Eve
The purpose of this paper is to present the comparison of different techniques for making statistical inference about a measurement system model. This comparison involves results when two main...
A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle (2008)
Neji, Radhouène, Deux, Jean-François, Fleury, Gilles, Maatouk, Mezri, Langs, Georg, Thiran, Jean-Philippe, ...
In this report, we present a kernel-based approach to the clustering of diffusion tensors in images of the human skeletal muscle. Based on the physical intuition of tensors as a means to represent...
A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle (2008)
Neji, Radhouène, Deux, Jean-François, Fleury, Gilles, Maatouk, Mezri, Langs, Georg, Thiran, Jean-Philippe, ...
In this report, we present a kernel-based approach to the clustering of diffusion tensors in images of the human skeletal muscle. Based on the physical intuition of tensors as a means to represent...
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
In 1979, a study indicated that childhood cancers might be linked to extremely low frequency (ELF) magnetic field (Wertheimer, 1979). Leaning on numerous epidemiological studies, the International...
Bedja, Mfoihaya, Magne, Isabelle, Souques, Martine, Lombrozo, J., Le Brusquet, Laurent, Fleury, Gilles, ...
In 1979, a study indicated that childhood cancers might be linked to extremely low frequency (ELF) magnetic field (Wertheimer, 1979). Leaning on numerous epidemiological studies, the International...
A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle (2008)
Neji, Radhouène, Deux, Jean-François, Fleury, Gilles, Maatouk, Mezri, Langs, Georg, Thiran, Jean-Philippe, ...
In this report, we present a kernel-based approach to the clustering of diffusion tensors in images of the human skeletal muscle. Based on the physical intuition of tensors as a means to represent...
A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle (2008)
Neji, Radhouène, Deux, Jean-François, Fleury, Gilles, Maatouk, Mezri, Langs, Georg, Thiran, Jean-Philippe, ...
In this report, we present a kernel-based approach to the clustering of diffusion tensors in images of the human skeletal muscle. Based on the physical intuition of tensors as a means to represent...
RKHS classification for multivariate extreme-value analysis (2007)
Piera-Martinez, Miguel, Vazquez, Emmanuel, Walter, Eric, Fleury, Gilles
In many engineering applications, data samples are expensive to get and limited in number. In such a difficult context, this paper shows how classification based on Reproducing Kernel Hilbert Space...
RKHS classification for multivariate extreme-value analysis (2007)
Piera-Martinez, Miguel, Vazquez, Emmanuel, Walter, Eric, Fleury, Gilles
In many engineering applications, data samples are expensive to get and limited in number. In such a difficult context, this paper shows how classification based on Reproducing Kernel Hilbert Space...
Bedja, Mfoihaya, Magne, Isabelle, Lombrozo, J., Fleury, Gilles, Le Brusquet, Laurent, Azoulay, Alain, ...
Longtemps considérés comme inoffensifs, les champs magnétiques (CM) alternatifs de fréquence 50 Hz liés à lélectricité en particulier, sont suspectés depuis une trentaine dannées...
Zgheib, Rawad, Lahalle, Elisabeth, Fleury, Gilles
On souhaite reconstruire en ligne un signal à échantillons manquants. Lorsque la perte est élevée les méthodes existantes peuvent conduire à l'identifcation de modèles instables. Nous...
Bedja, Mfoihaya, Magne, Isabelle, Lombrozo, J., Fleury, Gilles, Le Brusquet, Laurent, Azoulay, Alain, ...
Longtemps considérés comme inoffensifs, les champs magnétiques (CM) alternatifs de fréquence 50 Hz liés à lélectricité en particulier, sont suspectés depuis une trentaine dannées...
Zgheib, Rawad, Lahalle, Elisabeth, Fleury, Gilles
On souhaite reconstruire en ligne un signal à échantillons manquants. Lorsque la perte est élevée les méthodes existantes peuvent conduire à l'identifcation de modèles instables. Nous...
A Convex Semi-Definite Positive Framework for DTI Estimation and Regularization (2007)
Fleury, Gilles, Neji, Radhouène, Azzabou, Noura, Paragios, Nikos
In this paper we introduce a novel variational method for joint estimation and regularization of diffusion tensor fields from noisy raw data. To this end, we use the classic quadratic data fidelity...
A Convex Semi-Definite Positive Framework for DTI Estimation and Regularization (2007)
Fleury, Gilles, Neji, Radhouène, Azzabou, Noura, Paragios, Nikos
In this paper we introduce a novel variational method for joint estimation and regularization of diffusion tensor fields from noisy raw data. To this end, we use the classic quadratic data fidelity...
ZGHEIB, Rawad, FLEURY, Gilles, LAHALLE, Elisabeth
On souhaite reconstruire en ligne un signal à échantillons manquants. Lorsque la perte est élevée les méthodes existantes peuvent conduire à l'identification de modèles instables. Nous...
Bect, Julien, Phulpin, Yannick, Baili, Hana, Fleury, Gilles
This paper presents some recent results concerning a class of continuous-time Markov processes called ``stochastic hybrid systems''. These processes describe the evolution of a multidimensional...
Bect, Julien, Baili, Hana, Fleury, Gilles
This paper is concerned with the generalized Fokker-Planck equation for a class of stochastic hybrid processes, where diffusion and instantaneous jumps at the boundary are allowed. The state of the...
Bect, Julien, Phulpin, Yannick, Baili, Hana, Fleury, Gilles
This paper presents some recent results concerning a class of continuous-time Markov processes called ``stochastic hybrid systems''. These processes describe the evolution of a multidimensional...
Bect, Julien, Baili, Hana, Fleury, Gilles
This paper is concerned with the generalized Fokker-Planck equation for a class of stochastic hybrid processes, where diffusion and instantaneous jumps at the boundary are allowed. The state of the...
Bect, Julien, Phulpin, Yannick, Baili, Hana, Fleury, Gilles
This paper presents some recent results concerning a class of continuous-time Markov processes called ``stochastic hybrid systems''. These processes describe the evolution of a multidimensional...
Bect, Julien, Baili, Hana, Fleury, Gilles
This paper is concerned with the generalized Fokker-Planck equation for a class of stochastic hybrid processes, where diffusion and instantaneous jumps at the boundary are allowed. The state of the...
Bect, Julien, Phulpin, Yannick, Baili, Hana, Fleury, Gilles
This paper presents some recent results concerning a class of continuous-time Markov processes called ``stochastic hybrid systems''. These processes describe the evolution of a multidimensional...
Bect, Julien, Baili, Hana, Fleury, Gilles
This paper is concerned with the generalized Fokker-Planck equation for a class of stochastic hybrid processes, where diffusion and instantaneous jumps at the boundary are allowed. The state of the...
Zgheib, Rawad, Fleury, Gilles, Lahalle, Elisabeth
This paper deals with the problem of adaptive reconstruction and identification of AR processes with randomly missing observations. The performances of a previously proposed real time algorithm are...
Zgheib, Rawad, Fleury, Gilles, Lahalle, Elisabeth
This paper deals with the problem of adaptive reconstruction and identification of AR processes with randomlymissing observations. A new real time algorithm is proposed. It uses combined...
Kriging for indirect measurement, with application to flow measurement (2006)
Vazquez, Emmanuel, Fleury, Gilles, Walter, Eric
Kriging, a technique originating from geostatistics, is employed to build black-box models to be used to predict a quantity of interest based on the values taken by some experimental factors. This...
Zgheib, Rawad, Fleury, Gilles, Lahalle, Elisabeth
This paper deals with the problem of adaptive reconstruction and identification of AR processes with randomly missing observations. The performances of a previously proposed real time algorithm are...
Zgheib, Rawad, Fleury, Gilles, Lahalle, Elisabeth
This paper deals with the problem of adaptive reconstruction and identification of AR processes with randomlymissing observations. A new real time algorithm is proposed. It uses combined...
Kriging for indirect measurement, with application to flow measurement (2006)
Vazquez, Emmanuel, Fleury, Gilles, Walter, Eric
Kriging, a technique originating from geostatistics, is employed to build black-box models to be used to predict a quantity of interest based on the values taken by some experimental factors. This...
Bootstrap Methods for a Measurement Estimation Problem (2006)
AbstractIn this paper, a new approach for the statistical characterization of a measurand is presented. A description of how different bootstrap techniques can be applied in practice to estimate...
Estimation of extreme values, with application to uncertain systems (2006)
Piera-Martinez, Miguel, Vazquez, Emmanuel, Walter, Eric, Fleury, Gilles, Kielbasa, Richard
Extreme events are defined as extreme high (or low) values of whatever statistics of the output of the system we are interested in. These values play an important role because they may correspond to...
Bootstrap Methods for a Measurement Estimation Problem (2006)
AbstractIn this paper, a new approach for the statistical characterization of a measurand is presented. A description of how different bootstrap techniques can be applied in practice to estimate...
Estimation of extreme values, with application to uncertain systems (2006)
Piera-Martinez, Miguel, Vazquez, Emmanuel, Walter, Eric, Fleury, Gilles, Kielbasa, Richard
Extreme events are defined as extreme high (or low) values of whatever statistics of the output of the system we are interested in. These values play an important role because they may correspond to...
Markov Chain Monte Carlo Posterior Density Approximation for a Groove-Dimensioning Purpose (2006)
Fleury, Gilles, Osuna, Sonia Esther, Davoust, Marie-Eve
The purpose of this paper is to present a new approach for measurand uncertainty characterization. The Markov chain Monte Carlo (MCMC) is applied to measurand probability density function (pdf)...
Markov Chain Monte Carlo Posterior Density Approximation for a Groove-Dimensioning Purpose (2006)
Fleury, Gilles, Osuna, Sonia Esther, Davoust, Marie-Eve
The purpose of this paper is to present a new approach for measurand uncertainty characterization. The Markov chain Monte Carlo (MCMC) is applied to measurand probability density function (pdf)...
A model selection approach to signal denoising using Kullbacks symmetric divergence (2006)
Bekara, Maïza, Knockaert, Luc, Seghouane, Abd-Krim, Fleury, Gilles
We consider the determination of a soft/hard coefficients threshold for signal recovery embedded in additive Gaussian noise. This is closely related to the problem of variable selection in linear...
A model selection approach to signal denoising using Kullbacks symmetric divergence (2006)
Bekara, Maïza, Knockaert, Luc, Seghouane, Abd-Krim, Fleury, Gilles
We consider the determination of a soft/hard coefficients threshold for signal recovery embedded in additive Gaussian noise. This is closely related to the problem of variable selection in linear...
Piera-Martinez, Miguel, Vazquez, Emmanuel, Fleury, Gilles, Walter, Eric
Estimer une probabilité de défaillance d'un système entrée-sortie à partir d'observations ponctuelles de celui-ci est un problème important pour le monde industriel. Une approche possible...
Piera-Martinez, Miguel, Vazquez, Emmanuel, Fleury, Gilles, Walter, Eric
Estimer une probabilité de défaillance d'un système entrée-sortie à partir d'observations ponctuelles de celui-ci est un problème important pour le monde industriel. Une approche possible...
Bect, Julien, Baili, Hana, Fleury, Gilles
We consider a Markov process on a Riemannian manifold, which solves a stochastic differential equation in the interior of the manifold and jumps according to a deterministic reset map when it reaches...
Pareto-Optimal Methods for Gene Ranking (2004)
Hero, Alfred O., Fleury, Gilles
The massive scale and variability of microarray gene data creates new and challenging problems of signal extraction, gene clustering, and data mining, especially for temporal gene profiles. Many data...
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays (2004)
Alfred O. Hero, Gilles Fleury, Alan J. Mears, Anand Swaroop
This paper introduces a statistical methodology for the identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are false discovery...
Shigeo Yoshida A, James S. Friedman, Todd Carter, Shirley He, Edwin Oh, ...
− mouse retina:
Multicriteria gene screening for analysis of differential expression with DNA microarrays (2004)
Alfred O. Hero, Gilles Fleury, Alan J. Mears, Service Des Mesures, Depts Of Ophthalmology, Visual Sciences, ...
Abstract £ This paper introduces a statistical methodology for identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are: false...
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays (2004)
Anand Swaroop, Alan J. Mears, Gilles Fleury, Alfred O. Hero
This paper introduces a statistical methodology for the identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are false discovery...
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays (2004)
Alfred O. Hero, Gilles Fleury, Alan J. Mears, Anand Swaroop
This paper introduces a statistical methodology for the identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are false discovery...
Yoshida, Shigeo, Mears, Alan J., Friedman, James S., Carter, Todd, He, Shirley, Oh, Edwin, ...
The rod photoreceptor-specific neural retina leucine zipper protein Nrl is essential for rod differentiation and plays a critical role in regulating gene expression. In the mouse retina, rods account...
Yoshida, Shigeo, Mears, Alan J., Friedman, James S., Carter, Todd, He, Shirley, Oh, Edwin, ...
The rod photoreceptor-specific neural retina leucine zipper protein Nrl is essential for rod differentiation and plays a critical role in regulating gene expression. In the mouse retina, rods account...
Yoshida, Shigeo, Mears, Alan J., Friedman, James S., Carter, Todd, He, Shirley, Oh, Edwin, ...
The rod photoreceptor-specific neural retina leucine zipper protein Nrl is essential for rod differentiation and plays a critical role in regulating gene expression. In the mouse retina, rods account...
Régression régularisée par contrainte de variabilité (2003)
NAJI, Youness, LE BRUSQUET, Laurent, FLEURY, Gilles
- La variabilité d'une base d'apprentissage est définie. Elle permet, pour les problèmes de régression, la construction d'a priori sur la solution cherchée : en imposant à la solution cherchée...
Learning in presence of input noise using the stochastic EM algorithm (2002)
Hichem Snoussi, Abd-krim Seghouane, Ali Mohammad-djafari, Gilles Fleury
Abstract. Most learning algorithms rely on the assumption that the input training data contains no noise or uncertainty. However, when collecting data under an identification experiment it may not be...
SEGHOUANE, Abd-Krim, FLEURY, Gilles
Cet article traite du problème de l'apprentissage des réseaux de neurones à base de fonctions radiales pour l'approximation de fonctions non linéaires L2 de Rn vers R. Pour ce faire,...
FLEURY, Gilles, OKSMAN, Jacques
La notion de contrôle non destructif est par essence rattachée aux techniques de résolution des problèmes inverses. Ces dernières présentent le souci commun de formaliser l'information...