Supervised Principal Component Analysis Via Manifold Optimization.
Alexander RitchieClayton D. ScottLaura BalzanoDaniel KesslerChandra Sekhar SripadaPublished in: DSW (2019)
Keyphrases
- principal component analysis
- low dimensional
- lower dimensional
- feature space
- optimization algorithm
- constrained optimization
- principal components
- optimization problems
- image set
- discriminant analysis
- learning algorithm
- optimization process
- manifold learning
- global optimization
- dimensionality reduction
- supervised learning
- semi supervised
- independent component analysis
- dimension reduction
- unsupervised learning
- high dimensional
- machine learning
- stochastic gradient