Particle based probability density fusion with differential Shannon entropy criterion.
Jirí AjglMiroslav SimandlPublished in: FUSION (2011)
Keyphrases
- probability density
- shannon entropy
- kl divergence
- density estimation
- probability density function
- gaussian mixture model
- information theory
- probability distribution
- gaussian mixture
- random variables
- mutual information
- density function
- maximum likelihood estimation
- kullback leibler divergence
- parzen window
- feature selection
- information theoretic
- mixture model
- machine learning
- training data