Multi-Rank Sparse and Functional PCA Manifold Optimization and Iterative Deflation Techniques.
Michael WeylandtPublished in: CAMSAP (2019)
Keyphrases
- sparse pca
- high dimensional
- principal component analysis
- sparse regression
- principal components analysis
- lower dimensional
- low dimensional
- optimization algorithm
- iterative optimization
- feature extraction
- random projections
- feature space
- sparse data
- optimization problems
- optimization method
- principle component analysis
- manifold learning
- dimensionality reduction
- face recognition
- constrained optimization
- high dimension
- feature selection
- manifold structure
- joint optimization
- robust principal component analysis
- ranked list
- principal components
- sparse coding
- dimension reduction
- independent component analysis
- sparse representation
- face images
- feature vectors