A novel semi-supervised canonical correlation analysis and extensions for multi-view dimensionality reduction.
Xiao-Bo ShenQuan-Sen SunPublished in: J. Vis. Commun. Image Represent. (2014)
Keyphrases
- nearest neighbor
- multi view
- canonical correlation analysis
- dimensionality reduction methods
- dimensionality reduction
- semi supervised
- knn
- data points
- high dimensional
- high dimensional data
- single view
- multiple views
- low dimensional
- manifold learning
- subspace learning
- semi supervised learning
- labeled data
- high dimensionality
- pairwise
- multi view learning
- three dimensional
- unsupervised learning
- preprocessing step
- metric learning
- active learning
- co training
- principal component analysis
- feature selection
- pattern recognition
- feature space
- linear discriminant analysis
- unlabeled data
- principal components
- supervised learning
- random projections
- partial least squares
- feature extraction
- kernel learning
- data representation
- d objects
- principal components analysis
- data sets
- singular value decomposition
- discriminant analysis
- least squares
- k means
- image reconstruction
- text classification
- feature set