Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification: A Comparative Study.
Kwok-Kwong YiuMan-Wai MakChi-Kwong LiPublished in: Neural Comput. Appl. (1999)
Keyphrases
- pattern classification
- gaussian mixture model
- neural network
- pattern recognition
- pattern classification problems
- mixture model
- speaker recognition
- radial basis function neural network
- probabilistic neural network
- expectation maximization
- feature extraction
- feature vectors
- nearest neighbor rule
- probabilistic model
- maximum likelihood
- em algorithm
- feature space
- generative model
- covariance matrices
- gaussian distribution
- probability density
- bayesian networks
- probability density function
- back propagation
- gaussian mixture
- speaker identification
- self organizing maps
- machine learning
- probability distribution
- prior knowledge
- artificial neural networks
- data sets