PCA Reduced Gaussian Mixture Models with Applications in Superresolution
Idioma
en
Article de revue
Este ítem está publicado en
Inverse Problems and Imaging. 2022, vol. 16, n° 2, p. 341-366
AIMS American Institute of Mathematical Sciences
Resumen en inglés
Despite the rapid development of computational hardware, the treatment of largeand high dimensional data sets is still a challenging problem. This paper providesa twofold contribution to the topic. First, we propose a ...Leer más >
Palabras clave en inglés
Gaussian mixture models
expectation maximization algorithm
dimensionality reduction
principal component analysis
maximum likelihood estimation
superresolution
Proyecto ANR
Super-résolution d'images multi-échelles en sciences des matériaux avec des attributs géométriques - ANR-18-CE92-0050