Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction.
Jianwu WanHongyuan WangMing YangPublished in: Neural Process. Lett. (2017)
Keyphrases
- cost sensitive
- multi view
- canonical correlation analysis
- dimensionality reduction
- semi supervised
- dimensionality reduction methods
- active learning
- multi class
- subspace learning
- principal component analysis
- high dimensional data
- manifold learning
- semi supervised learning
- binary classification
- high dimensional
- low dimensional
- supervised learning
- unsupervised learning
- labeled data
- metric learning
- feature selection
- pairwise
- co training
- linear discriminant analysis
- high dimensionality
- feature space
- three dimensional
- unlabeled data
- feature extraction
- naive bayes
- pattern recognition
- sparse representation
- data points
- support vector machine
- principal components
- incremental learning
- d objects
- least squares
- pairwise constraints
- knn
- machine learning
- data sets
- learning process
- learning algorithm
- unlabeled samples