The Similarity-Consensus Regularized Multi-view Learning for Dimension Reduction.
Xiangzhu MengHuibing WangLin FengPublished in: CoRR (2019)
Keyphrases
- dimension reduction
- multi view learning
- multi view
- principal component analysis
- feature extraction
- linear discriminant analysis
- high dimensional
- similarity measure
- small sample size
- low dimensional
- singular value decomposition
- high dimensionality
- unsupervised learning
- high dimensional data
- feature selection
- cluster analysis
- dimensionality reduction
- least squares
- semi supervised learning
- co training
- feature space
- semi supervised
- multi task learning
- preprocessing
- distance measure
- discriminative information
- three dimensional
- distance function
- data sets
- support vector machine
- transfer learning
- unlabeled data
- training data
- d objects