End of Discriminant Functions based on Variance-covariance Matrices.
Shuichi ShinmuraPublished in: ICORES (2014)
Keyphrases
- covariance matrices
- discriminant functions
- covariance matrix
- maximum likelihood
- gaussian mixture model
- gaussian mixture
- sample size
- vector space
- principal component analysis
- distance measure
- feature vectors
- gaussian distribution
- estimation error
- linear classifiers
- support vector
- nearest neighbor
- machine learning
- principal components
- training data