Feature representation and discrimination based on Gaussian mixture model probability densities - Practices and algorithms.
Pekka PaalanenJoni-Kristian KamarainenJarmo IlonenHeikki KälviäinenPublished in: Pattern Recognit. (2006)
Keyphrases
- gaussian mixture model
- probability density
- feature representation
- density estimation
- mixture model
- expectation maximization
- maximum likelihood
- em algorithm
- background subtraction
- probability density function
- feature vectors
- feature extraction
- learning algorithm
- dimensionality reduction
- feature set
- machine learning
- feature space
- pattern recognition
- gaussian mixture
- feature selection