Efficient learning of sparse and decomposable PDEs using random projection.
Md. NasimXinghang ZhangAnter El-AzabYexiang XuePublished in: UAI (2022)
Keyphrases
- random projections
- efficient learning
- compressed sensing
- compressive sensing
- sparse representation
- dimension reduction
- dimensionality reduction
- image reconstruction
- random sampling
- learning algorithm
- original data
- principal component analysis
- pattern languages
- multiscale
- membership queries
- hash functions
- low dimensional
- feature space
- document clustering
- high dimensionality
- sample size
- image classification
- software engineering
- object oriented
- learning process
- object recognition
- pattern recognition