Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding.
Cesar F. CaiafaZiyao WangJordi Solé-CasalsQibin ZhaoPublished in: CoRR (2020)
Keyphrases
- sparse coding
- incomplete data
- dictionary learning
- neural network
- unsupervised learning
- group sparsity
- learning algorithm
- supervised learning
- natural images
- single image super resolution
- image classification
- sparse representation
- prior knowledge
- learning bayesian networks
- deep belief networks
- image representation
- bayesian networks
- missing values
- visual recognition
- computer vision
- reinforcement learning
- feature space
- active learning
- high resolution