A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data.

Antonin Chambolle Martin Holler Thomas Pock

Published in: J. Math. Imaging Vis. (2020)

Keyphrases

incomplete data
image data
learning bayesian networks
active learning
learning algorithm
input image
neural network
image retrieval
hidden variables
image features
multiscale
image representation
missing data
bayesian networks
supervised learning
image classification
image segmentation
denoising
convex optimization
logic programs
feature extraction
pattern recognition