| Titre : |
Réseaux de neurones dans la statistique exploratoire et à l’aide de la décision. |
| Type de document : |
texte imprimé |
| Auteurs : |
Assia Ayache, Auteur ; Fouad Lazhar Rahmani, Directeur de thèse ; Soumia Kharfouchi, Directeur de thèse |
| Mention d'édition : |
08/04/2021 |
| Editeur : |
جامعة الإخوة منتوري قسنطينة |
| Année de publication : |
2021 |
| Importance : |
77 f. |
| Format : |
30 cm. |
| Note générale : |
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
|
| Langues : |
Français (fre) |
| Catégories : |
Français - Anglais
Mathématiques
|
| Tags : |
Mathematiques: Statistique Appliquée
Exploratory statistics Factorial methods Image segmentation 2D RCA models ANNs GMM Statistique exploratoire Méthodes factorielles Segmentation d'image Modèles 2D RCA الإحصاء الاستكشافي طرق العوامل تجزئة الصورة 2D RCA |
| Index. décimale : |
510 Mathématiques |
| Résumé : |
Data analysis (also called exploratory data analysis) is a family of statistical methods whose main characteristics are that they are multidimensional and descriptive. These methods can also be considered as special neural methods.
In this thesis work, a focus on the statistical aspects of neuronal methods is proposed. As an innovative contribution in this field, a region growing technique is used to achieve image segmentation by merging some starting points or internal small areas if they are homogeneous according to a measurement of a local region property. A 2D random coefficients autoregressive model (2D RCA) is fitted in order to identify the different textures present in the image. First, an estimation procedure using a generalized method of moments (GMM) technique is proposed to extract some local region properties. For this, a gradient-based neural network (GNN) is used to estimate the 2D RCA model parameters from a given texture. The cost function of the proposed (GNN) is based on a strong matching of the statistical moments of the corresponding 2D-RCA model and the sample moments of population image data. Experimental results demonstrate the effectiveness and the relevance of the proposed method.
|
| Diplôme : |
Doctorat |
| En ligne : |
../theses/math/AYA7766.pdf |
| Format de la ressource électronique : |
pdf |
| Permalink : |
index.php?lvl=notice_display&id=11599 |
Réseaux de neurones dans la statistique exploratoire et à l’aide de la décision. [texte imprimé] / Assia Ayache, Auteur ; Fouad Lazhar Rahmani, Directeur de thèse ; Soumia Kharfouchi, Directeur de thèse . - 08/04/2021 . - جامعة الإخوة منتوري قسنطينة, 2021 . - 77 f. ; 30 cm. Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français ( fre)
| Catégories : |
Français - Anglais
Mathématiques
|
| Tags : |
Mathematiques: Statistique Appliquée
Exploratory statistics Factorial methods Image segmentation 2D RCA models ANNs GMM Statistique exploratoire Méthodes factorielles Segmentation d'image Modèles 2D RCA الإحصاء الاستكشافي طرق العوامل تجزئة الصورة 2D RCA |
| Index. décimale : |
510 Mathématiques |
| Résumé : |
Data analysis (also called exploratory data analysis) is a family of statistical methods whose main characteristics are that they are multidimensional and descriptive. These methods can also be considered as special neural methods.
In this thesis work, a focus on the statistical aspects of neuronal methods is proposed. As an innovative contribution in this field, a region growing technique is used to achieve image segmentation by merging some starting points or internal small areas if they are homogeneous according to a measurement of a local region property. A 2D random coefficients autoregressive model (2D RCA) is fitted in order to identify the different textures present in the image. First, an estimation procedure using a generalized method of moments (GMM) technique is proposed to extract some local region properties. For this, a gradient-based neural network (GNN) is used to estimate the 2D RCA model parameters from a given texture. The cost function of the proposed (GNN) is based on a strong matching of the statistical moments of the corresponding 2D-RCA model and the sample moments of population image data. Experimental results demonstrate the effectiveness and the relevance of the proposed method.
|
| Diplôme : |
Doctorat |
| En ligne : |
../theses/math/AYA7766.pdf |
| Format de la ressource électronique : |
pdf |
| Permalink : |
index.php?lvl=notice_display&id=11599 |
|
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