Evolving Gaussian Mixture Models for Classification.
Simon ReichhuberSven TomfordePublished in: ICAART (3) (2022)
Keyphrases
- gaussian mixture model
- feature vectors
- mixture model
- density estimation
- maximum likelihood criterion
- feature space
- classification accuracy
- machine learning
- pattern classification
- model selection
- decision trees
- computer vision
- gaussian mixture
- class labels
- em algorithm
- text classification
- feature set
- supervised learning
- training set
- feature extraction
- feature selection
- image compression
- image classification
- probability density
- speaker recognition
- speech music discrimination