Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction.
Zhenhua ShiDongrui WuJian HuangYu-Kai WangChin-Teng LinPublished in: IJCNN (2020)
Keyphrases
- dimensionality reduction
- unsupervised learning
- sparse pca
- feature selection
- semi supervised
- feature extraction
- principal component analysis
- supervised dimensionality reduction
- data points
- learning algorithm
- high dimensional data
- low dimensional
- pattern recognition
- high dimensionality
- principal components
- face recognition
- anomaly detection
- nearest neighbor
- random projections
- dimensionality reduction methods
- singular value decomposition
- discriminant analysis
- metric learning
- support vector machine
- direct optimization