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Aurélien Schutz
Aurélien Schutz
Zweryfikowany adres z u-bordeaux1.fr
Tytuł
Cytowane przez
Cytowane przez
Rok
Centroid-based texture classification using the generalized gamma distribution
A Schutz, L Bombrun, Y Berthoumieu, M Najim
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
142013
k-MLE for mixtures of generalized Gaussians
O Schwander, AJ Schutz, F Nielsen, Y Berthoumieu
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
132012
Centroid-based texture classification using the sirv representation
A Schutz, L Bombrun, Y Berthoumieu
2013 IEEE International Conference on Image Processing, 3810-3814, 2013
72013
Barycentric distribution estimation for texture clustering based on information-geometry tools
A Schutz, Y Berthoumieu, F Turcu, C Nafornita, A Isar
2012 10th International Symposium on Electronics and Telecommunications, 343-346, 2012
72012
K-centroids-based supervised classification of texture images using the SIRV modeling
A Schutz, L Bombrun, Y Berthoumieu
Geometric Science of Information: First International Conference, GSI 2013 …, 2013
42013
K-centroids-based supervised classification of texture images: Handling the intra-class diversity
A Schutz, L Bombrun, Y Berthoumieu
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
32013
Abnormal combustion detection and characterization method for internal-combustion engines
L Duval, A Schutz, JM Zaccardi
US Patent App. 13/547,205, 2013
32013
Intrinsic prior for Bayesian classification of texture images
A Schutz, L Bombrun, Y Berthoumieu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
12014
Classification d'images texturées basée sur K-barycentres: meilleure gestion de la diversité intra-classe
A Schutz, L Bombrun, Y Berthoumieu
Groupe d'Etudes du Traitement du Signal et des Images (GRETSI), 1-4, 2013
12013
Modélisation multivariée de champs texturaux: application à la classification d'images.
A Schutz
Université de Bordeaux, 2014
2014
Learning mixtures of generalized Gaussian withk-MLE
O Schwander, A Schutz, Y Berthoumieu, F Nielsen
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