On Separation of Signal Sources Using Kernel Estimates of Probability Densities.
Oleg V. MichailovichDouglas WiensPublished in: ICA (2007)
Keyphrases
- density estimates
- probability density
- density estimation
- source signals
- kernel density estimation
- blind separation
- parzen window
- multiple instance learning
- density ratio
- blind source separation
- probability density function
- independent component analysis
- maximum likelihood estimation
- gaussian mixture model
- random variables
- probability distribution
- signal processing
- gaussian mixture
- mixture model
- kernel function
- nonparametric estimation
- feature space
- bayesian networks
- face recognition
- computer vision
- information retrieval