Patrimony
The Louis Bachelier Group's patrimony has been defined as all the publications produced by academic researchers thanks to Group funding (ILB, FdR, IEF, Labex) or via the use of EquipEx data (BEDOFIH, EUROFIDAI).
Dictionary learning for parsimonious representations.
Dictionary learning, Sparse representation
Sparse Modeling for Image and Vision Processing.
Computer vision, Dictionary learning, Image processing, Sparse coding
Sample Complexity of Dictionary Learning and Other Matrix Factorizations.
$K$-means clustering, Dictionary learning, Non-negative matrix factorization, Principal component analysis, Sample complexity, Sparse coding, Structured learning
Sparse coding for machine learning, image processing and computer vision.
Apprentissage statistique, Convex optimization, Dictionary learning, Image denoising, Images features, Représentation parcimonieuse, Sparse coding, Sparsity, Traitement d'image
On the sample complexity of sparse dictionary learning.
Dictionary learning, Sample complexity, Sparse coding
Representations for anomaly detection: Application to aircraft engine vibration data.
Anomaly detection, Apprentissage de dictionnaire, Curvelets, Dictionary learning, Détection de nouveautés, Détection d’anomalies, Estimation de densité par noyau, Kernel density estimation, Novelty detection, Vibrations