On the Measurement of the Inductive Bias Impact in Convolutional Neural Networks Training for Single Image Super-Resolution.
Aldrian KwantawijayaDaniel Stephanus Najoan TamimmanarTjeng Wawan CenggoroPublished in: ICCSCI (2023)
Keyphrases
- convolutional neural networks
- single image super resolution
- inductive bias
- training examples
- sparse coding
- training set
- supervised learning
- super resolution
- inductive learning
- machine learning
- pac learning
- low resolution
- dictionary learning
- data sets
- small number
- sample selection
- training data
- unsupervised learning
- sparse representation
- active learning
- feature space
- support vector
- hypothesis space
- learning algorithm