Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network.
Luzhe HuangXilin YangTairan LiuAydogan OzcanPublished in: CoRR (2022)
Keyphrases
- image reconstruction
- transfer learning
- learning tasks
- knowledge transfer
- super resolution
- cross domain
- labeled data
- emission computed tomography
- active learning
- video sequences
- reinforcement learning
- reconstruction method
- machine learning
- multi task
- video data
- image reconstruction algorithms
- collaborative filtering
- semi supervised learning
- domain adaptation
- visual features
- text categorization
- machine learning algorithms
- transfer knowledge
- text classification
- unlabeled data
- emission tomography
- image processing
- text mining
- learning algorithm
- limited angle
- positron emission tomography
- high resolution
- data mining
- decision trees
- image segmentation
- maximum likelihood
- image classification
- medical images
- semi supervised
- prior knowledge