Deep Dimension Reduction for Supervised Representation Learning.
Jian HuangYuling JiaoXu LiaoJin LiuZhou YuPublished in: IEEE Trans. Inf. Theory (2024)
Keyphrases
- dimension reduction
- supervised learning
- learning algorithm
- learning process
- unsupervised learning
- data mining and machine learning
- feature construction
- principal component analysis
- high dimensional problems
- random projections
- feature space
- low dimensional
- least squares
- high dimensional
- learning models
- pattern recognition
- bayesian networks
- computer vision