Principal Component Analysis with Tensor Train Subspace.
Wenqi WangVaneet AggarwalShuchin AeronPublished in: CoRR (2018)
Keyphrases
- principal component analysis
- dimensionality reduction
- tensor analysis
- low dimensional
- principal components
- lower dimensional
- subspace learning
- linear discriminant analysis
- face recognition
- covariance matrix
- independent component analysis
- higher order
- face images
- discriminant analysis
- dimension reduction
- feature space
- subspace methods
- feature extraction
- high dimensional data
- high order
- manifold learning
- linear projection
- tensor space
- subspace learning algorithm
- higher order singular value decomposition
- data representation
- singular value decomposition
- random projections
- kernel pca
- image processing
- higher order tensors
- negative matrix factorization
- diffusion tensor
- tensor field
- locality preserving projections
- tensor decomposition
- high dimensional
- discriminant information
- pattern recognition
- feature selection
- data sets