Data-driven deep density estimation.
Patrik PuchertPedro HermosillaTobias RitschelTimo RopinskiPublished in: CoRR (2021)
Keyphrases
- density estimation
- data driven
- mixture model
- probability density
- probability density function
- density function
- nonparametric density estimation
- gaussian mixture model
- density estimators
- multivariate gaussian distribution
- mixture modeling
- outlier detection
- kernel density estimation
- parzen window
- kernel density estimates
- density estimates
- generative model
- expectation maximization
- support vector
- image processing