Unsupervised Dimensionality Reduction for Gaussian Mixture Model.
Xi YangKaizhu HuangRui ZhangPublished in: ICONIP (2) (2014)
Keyphrases
- gaussian mixture model
- unsupervised dimensionality reduction
- dimensionality reduction
- principal component analysis
- low dimensional
- feature space
- text categorisation
- mixture model
- feature vectors
- em algorithm
- maximum likelihood
- speaker recognition
- expectation maximization
- high dimensional
- feature extraction
- unsupervised learning
- pattern recognition
- gaussian mixture
- principal components
- speaker identification
- principal components analysis
- data points
- background subtraction
- linear discriminant analysis
- gaussian distribution
- decision trees
- machine learning
- computer vision
- gaussian mixture modeling
- text mining
- discriminant analysis
- speech recognition
- data mining
- learning process
- language model