Transfer Learning for Protein Structure Classification at Low Resolution.
Alexander HudsonShaogang GongPublished in: CoRR (2020)
Keyphrases
- low resolution
- transfer learning
- protein structure
- high resolution
- super resolution
- text classification
- low resolution images
- machine learning
- high quality
- image super resolution
- high resolution images
- machine learning algorithms
- cross domain
- higher resolution
- protein sequences
- labeled data
- face images
- lower resolution
- decision trees
- transfer knowledge
- text categorization
- reinforcement learning
- active learning
- training set
- support vector
- learning algorithm
- secondary structure
- support vector machine
- super resolution reconstruction
- image classification
- amino acids
- supervised learning
- data sets
- feature space
- feature vectors