Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.
Le YangShiji SongShuang LiYiming ChenGao HuangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2021)
Keyphrases
- dimension reduction
- extreme learning machine
- graph embedding
- low dimensional
- variable selection
- dimensionality reduction
- high dimensional
- discriminant analysis
- principal component analysis
- high dimensional data
- linear discriminant analysis
- support vector regression
- manifold learning
- feature extraction
- gaussian processes
- neural network
- semi supervised
- data representation
- subspace learning
- high dimensionality
- data points
- input space
- feature selection
- singular value decomposition
- feature space
- preprocessing
- feature representation
- face recognition
- support vector machine svm
- pairwise
- pattern recognition
- support vector
- decision trees
- cluster analysis
- unsupervised learning
- learning process
- image sequences