Sparse Functional Principal Component Analysis via Regularized Basis Expansions and Its Application.
Mitsunori KayanoSadanori KonishiPublished in: Commun. Stat. Simul. Comput. (2010)
Keyphrases
- principal component analysis
- random projections
- independent component analysis
- principal components
- face recognition
- dimension reduction
- discriminant analysis
- regularized least squares
- dimensionality reduction
- face images
- linear discriminant analysis
- sparse pca
- low dimensional
- sparse data
- singular value decomposition
- high dimensional
- loss function
- sparsity constraints
- covariance matrix
- neural network
- least squares
- high resolution
- feature selection
- computer vision
- learning algorithm