CA-PCA: Manifold Dimension Estimation, Adapted for Curvature.
Anna C. GilbertKevin O'NeillPublished in: CoRR (2023)
Keyphrases
- principal component analysis
- high dimensional
- lower dimension
- low dimensional
- high dimension
- feature space
- cellular automata
- feature extraction
- principal components
- principal components analysis
- dimensionality reduction
- parameter estimation
- face recognition
- linear subspace
- euclidean space
- lower dimensional
- dimension reduction
- covariance matrix
- scale space
- negative matrix factorization
- density estimation
- locally linear embedding
- principle component analysis
- face images
- covering arrays