Maximum likelihood discriminant feature spaces.
George SaonMukund PadmanabhanRamesh A. GopinathScott Saobing ChenPublished in: ICASSP (2000)
Keyphrases
- maximum likelihood
- feature space
- principal component analysis
- feature extraction
- low dimensional
- discriminant analysis
- parameter estimation
- expectation maximization
- dimensionality reduction
- em algorithm
- class separability
- high dimensional
- likelihood function
- high dimensionality
- feature vectors
- maximum a posteriori
- nearest neighbor search
- image representation
- training samples
- discriminant features
- training set
- gaussian distribution
- log likelihood function
- kernel matrix
- data sets
- hyperparameters
- hyperplane
- linear discriminant analysis
- data points
- metric learning
- kernel principal component analysis
- discriminatory power
- linear discriminant
- face recognition