Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data.
Kerstin BunteBarbara HammerAxel WismüllerMichael BiehlPublished in: Neurocomputing (2010)
Keyphrases
- dimension reduction
- labeled data
- semi supervised
- dissimilarity measure
- discriminative information
- unlabeled data
- unsupervised learning
- semi supervised learning
- feature extraction
- feature space
- supervised learning
- principal component analysis
- active learning
- data points
- text classification
- training data
- feature selection
- low dimensional
- high dimensional
- linear discriminant analysis
- high dimensional data
- singular value decomposition
- dimensionality reduction
- class labels
- transfer learning
- semi supervised classification
- labeled and unlabeled data
- high dimensionality
- distance measure
- co training
- metric learning
- cluster analysis
- similarity measure
- prior knowledge
- learning algorithm
- clustering method
- pairwise
- pattern recognition
- multi view
- distance metric
- distance function
- sparse coding
- face recognition
- preprocessing