Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE.
Clément ChadebecStéphanie AllassonnièrePublished in: CoRR (2021)
Keyphrases
- sample size
- data generation
- progressive sampling
- random sampling
- model selection
- hyperparameters
- small sample size
- active learning
- small sample
- uniform sampling
- statistical power
- streaming data
- random samples
- data streams
- three dimensional
- machine learning
- low dimensional
- random sample
- high dimensional
- worst case
- upper bound
- lower bound
- data analysis
- feature space
- prior knowledge