Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior.
Hichem SnoussiAli Mohammad-DjafariPublished in: J. VLSI Signal Process. (2004)
Keyphrases
- mixture of gaussians
- source separation
- unsupervised learning
- gaussian process
- expectation maximization
- mixture model
- semi supervised
- model selection
- maximum likelihood estimation
- blind source separation
- bayesian methods
- maximum likelihood
- maximum a posteriori
- independent component analysis
- gaussian distribution
- hyperparameters
- bayesian framework
- denoising
- gaussian mixture model
- supervised learning
- prior knowledge
- background subtraction
- em algorithm
- density function
- bayesian networks
- bayesian inference
- probability density function
- dimensionality reduction
- object recognition
- prior information
- k means
- sample size
- regression model
- video sequences
- feature selection