A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data.
Antonin ChambolleMartin HollerThomas PockPublished 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