Interval probability density functions constructed from a generalization of the Moore and Yang integral.
Benjamín R. C. BedregalClaudilene Gomes da CostaEduardo Silva PalmeiraEdmundo MansillaPublished in: CoRR (2021)
Keyphrases
- probability density function
- density function
- probability distribution
- density estimation
- gaussian mixture
- kernel density estimation
- kullback leibler divergence
- parzen window
- higher order statistics
- bayesian formulation
- expectation maximization
- bayesian framework
- pattern recognition
- gaussian mixture model
- distance function
- mixture model
- texture descriptors
- em algorithm
- class conditional
- generalized gaussian
- neural network
- probability distribution functions
- statistical methods
- efficient computation
- text classification
- prior knowledge