The similarity-consensus regularized multi-view learning for dimension reduction.
Xiangzhu MengHuibing WangLin FengPublished in: Knowl. Based Syst. (2020)
Keyphrases
- dimension reduction
- multi view learning
- principal component analysis
- multi view
- feature extraction
- small sample size
- low dimensional
- high dimensional
- linear discriminant analysis
- high dimensionality
- singular value decomposition
- high dimensional data
- similarity measure
- dimensionality reduction
- feature space
- feature selection
- unsupervised learning
- semi supervised
- least squares
- preprocessing
- discriminative information
- unlabeled data
- distance function
- cluster analysis
- co training
- distance measure
- machine learning
- data mining
- supervised learning
- support vector
- computer vision