Continuation of Probability Density Functions using a Generalized Lyapunov Approach.
Sven BaarsJan ViebahnThomas E. MulderChristian KuehnFred W. WubsHenk A. DijkstraPublished in: CoRR (2020)
Keyphrases
- probability density function
- density function
- probability distribution
- density estimation
- kullback leibler divergence
- em algorithm
- mixture model
- parzen window
- kernel density estimation
- bayesian framework
- expectation maximization
- class conditional
- gaussian mixture model
- probability distribution functions
- gaussian mixture
- sufficient conditions
- generalized gaussian
- low dimensional
- statistical methods
- higher order statistics
- data sets
- distance function
- learning algorithm
- texture descriptors
- maximum likelihood
- feature extraction
- neural network