From Adaptive Kernel Density Estimation to Sparse Mixture Models.
Colas SchretterJianyong SunPeter SchelkensPublished in: CoRR (2018)
Keyphrases
- mixture model
- kernel density estimation
- density estimation
- probability density function
- gaussian mixture model
- em algorithm
- density function
- generative model
- expectation maximization
- probabilistic model
- probability density
- model selection
- language model
- unsupervised learning
- mean shift
- maximum likelihood
- high dimensional
- gaussian mixture
- face recognition
- active learning
- data streams
- maximum likelihood estimation
- similarity measure