Estimate of a Probability Density Function through Neural Networks.
Leonardo ReyneriValentina CollaMarco VannucciPublished in: IWANN (1) (2011)
Keyphrases
- probability density function
- neural network
- probability density
- density estimation
- density function
- kernel density estimation
- mixture model
- pattern recognition
- bhattacharyya distance
- probability distribution
- gaussian mixture model
- bayesian framework
- gaussian mixture
- kullback leibler divergence
- parzen window
- em algorithm
- statistical methods
- low dimensional
- expectation maximization
- language model
- knn
- prior knowledge
- data analysis
- fisher information
- computer vision