Extending Linear Discriminant Analysis by Using Unlabeled Data.
Young Tae LeeYong Joon ShinCheong Hee ParkPublished in: CIT (2011)
Keyphrases
- linear discriminant analysis
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- dimensionality reduction
- face recognition
- data points
- active learning
- principal component analysis
- training data
- dimension reduction
- high dimensional data
- supervised learning
- learning algorithm
- text classification
- co training
- feature extraction
- feature space
- labeled and unlabeled data
- small sample size
- training set
- text categorization
- support vector
- training examples
- labeled examples
- prior knowledge
- support vector machine svm
- class labels
- transfer learning
- discriminative information
- pairwise
- data sets
- unsupervised learning
- machine learning
- class distribution
- object recognition
- distance metric
- learning process