Uncorrelated multilinear principal component analysis through successive variance maximization.
Haiping LuKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: ICML (2008)
Keyphrases
- principal component analysis
- covariance matrix
- principal components
- dimensionality reduction
- low dimensional
- independent component analysis
- dimension reduction
- subspace learning
- feature extraction
- linear discriminant analysis
- face recognition
- discriminant analysis
- objective function
- maximum variance
- standard deviation
- normal distribution
- singular value decomposition
- face images
- feature space
- higher order
- lower dimensional
- random projections
- data sets
- high order
- tensor analysis
- neural network
- negative matrix factorization
- prediction error
- genetic algorithm
- matrix factorization
- decision trees
- kernel principal component analysis
- variance reduction
- low variance
- trade off
- high resolution