Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA.
Yuchen ZhouYuxin ChenPublished in: CoRR (2023)
Keyphrases
- principal component analysis
- dimensionality reduction
- dimension reduction
- high dimensional
- high dimensional data
- principal components analysis
- low dimensional
- principal components
- principle component analysis
- feature extraction
- high dimensionality
- linear discriminant analysis
- independent component analysis
- face recognition
- manifold learning
- feature space
- random projections
- dimension reduction methods
- artificial intelligence
- lower dimensional
- feature selection
- kernel pca
- neural network
- covariance matrix
- face images
- feature vectors
- support vector
- case study
- decision trees
- negative matrix factorization
- knowledge base
- method for face recognition