Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding.
Cesar F. CaiafaZiyao WangJordi Solé-CasalsQibin ZhaoPublished in: CVPR Workshops (2021)
Keyphrases
- sparse coding
- dictionary learning
- neural network
- training process
- prior knowledge
- natural images
- unsupervised learning
- group sparsity
- sparse representation
- supervised learning
- deep belief networks
- single image super resolution
- feature space
- reinforcement learning
- learning algorithm
- learning process
- linear combination
- training examples
- learning tasks
- image patches
- pattern recognition
- small number
- image features
- object recognition