Ranking Tensor Subspaces in Weighted Multilinear Principal Component Analysis.
Tiene A. FilisbinoGilson A. GiraldiCarlos E. ThomazPublished in: Int. J. Pattern Recognit. Artif. Intell. (2017)
Keyphrases
- principal component analysis
- dimensionality reduction
- higher order tensors
- tensor analysis
- lower dimensional
- low dimensional
- face recognition
- order tensor
- ranking algorithm
- high dimensional data
- higher order
- principal components
- independent component analysis
- tensor decomposition
- high order
- feature extraction
- dimension reduction
- covariance matrix
- discriminant analysis
- linear discriminant analysis
- face images
- web search
- subspace learning
- learning to rank
- high dimensional
- linear projection
- random projections
- feature space
- ranking functions
- singular value decomposition
- image processing
- order statistics
- diffusion tensor
- pattern recognition
- search engine
- linear subspace
- negative matrix factorization
- higher order singular value decomposition