Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques.
Michael WeylandtPublished in: CoRR (2019)
Keyphrases
- sparse pca
- high dimensional
- principal component analysis
- low dimensional
- optimization algorithm
- dimensionality reduction
- iterative optimization
- lower dimensional
- feature space
- principal components
- principal components analysis
- random projections
- optimization problems
- sparse data
- principle component analysis
- constrained optimization
- face recognition
- canonical correlation analysis
- nonlinear manifold
- sparse principal component analysis
- manifold learning
- dimension reduction
- independent component analysis
- sparse representation
- high dimensional data
- sparse coding
- singular value decomposition
- optimization method
- locally linear embedding
- low rank approximation
- face images
- evolutionary algorithm
- robust principal component analysis
- feature selection