VC Dimensions of Principal Component Analysis.
Yohji AkamaKei IrieAkitoshi KawamuraYasutaka UwanoPublished in: Discret. Comput. Geom. (2010)
Keyphrases
- principal component analysis
- dimensionality reduction
- principal components
- independent component analysis
- covariance matrix
- discriminant analysis
- low dimensional
- face recognition
- feature extraction
- linear discriminant analysis
- multiple dimensions
- negative matrix factorization
- dimension reduction
- data sets
- signal processing
- least squares
- feature space
- high dimensional data
- high dimensional
- computer vision
- learning algorithm
- random projections
- information retrieval