Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows.
Evan D. CookMarc-Antoine LavoieSteven L. WaslanderPublished in: CoRR (2024)
Keyphrases
- density estimation
- probability density
- density function
- probability density function
- exponential family
- kernel density estimates
- density estimates
- mixture model
- mixture of gaussians
- mixture modeling
- nonparametric density estimation
- parzen window
- outlier detection
- kernel density estimation
- detection algorithm
- gaussian mixture model
- probability distribution
- multivariate gaussian distribution
- data points
- gaussian distribution
- data distribution
- data sets
- random variables
- statistical analysis
- generative model
- em algorithm
- expectation maximization
- active learning
- feature vectors
- data streams
- computer vision
- learning algorithm