A semi-supervised version of heteroscedastic linear discriminant analysis.
Haolang ZhouDamianos G. KarakosAndreas G. AndreouPublished in: INTERSPEECH (2009)
Keyphrases
- linear discriminant analysis
- semi supervised
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- feature extraction
- semi supervised learning
- support vector
- feature space
- null space
- subspace learning
- support vector machine svm
- small sample size
- labeled data
- discriminant features
- fisher criterion
- high dimensional data
- class separability
- linear discriminant
- unsupervised learning
- supervised learning
- active learning
- pairwise
- unlabeled data
- scatter matrices
- pairwise constraints
- discriminative information
- nearest neighbor
- graph embedding
- data sets
- scatter matrix
- principal components
- feature selection
- machine learning
- data mining