Adaptive Density Estimation for Generative Models.
Thomas LucasKonstantin ShmelkovKarteek AlahariCordelia SchmidJakob VerbeekPublished in: NeurIPS (2019)
Keyphrases
- density estimation
- generative model
- mixture model
- em algorithm
- gaussian mixture model
- probabilistic model
- expectation maximization
- discriminative learning
- probability density function
- density function
- object categories
- discriminative models
- bayesian framework
- semi supervised
- conditional random fields
- hidden variables
- outlier detection
- unsupervised learning
- maximum likelihood
- prior knowledge
- object recognition
- information retrieval
- language model
- higher order
- maximum likelihood estimation
- exponential family