Spectral Sparsification via Bounded-Independence Sampling.
Dean DoronJack MurtaghSalil P. VadhanDavid ZuckermanPublished in: CoRR (2020)
Keyphrases
- random sampling
- sampling strategy
- multispectral images
- least squares
- sampling strategies
- spectral analysis
- monte carlo
- data sets
- hyperspectral imagery
- conditional independence
- active learning
- machine learning
- neural network
- multispectral
- case study
- genetic algorithm
- hyperspectral images
- databases
- real time
- spectral images
- spectral resolution
- introducing additional