Optimizing a Compressive Imager for Machine Learning Tasks.
Brian J. RedmanDaniel CalzadaJamie WingoTu-Thach QuachMeghan A. GaliardiAmber L. DagelCharles F. LaCasseGabriel C. BirchPublished in: ACSSC (2019)
Keyphrases
- learning tasks
- learning machines
- learning problems
- machine learning
- transfer learning
- supervised learning
- learning algorithm
- meta learning
- multi task learning
- learning experience
- multi task
- learning models
- machine learning algorithms
- multitask learning
- metric learning
- hypothesis space
- kernel methods
- multi label
- training examples
- data mining
- pairwise
- natural language
- learning environment
- neural network