Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space.
Janis PostelsHermann BlumCesar CadenaRoland SiegwartLuc Van GoolFederico TombariPublished in: CoRR (2020)
Keyphrases
- density estimation
- latent space
- gaussian mixture
- mixture model
- low dimensional
- latent variables
- generative model
- probability density function
- parameter space
- gaussian process
- dimensionality reduction
- outlier detection
- high dimensional
- feature space
- gaussian mixture model
- lower dimensional
- high dimensional data
- transfer learning
- manifold learning
- training data
- distance metric
- expectation maximization
- principal component analysis
- probabilistic model
- active learning
- pattern recognition