Principal component analysis with tensor train subspace.
Wenqi WangVaneet AggarwalShuchin AeronPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- principal component analysis
- dimensionality reduction
- tensor analysis
- low dimensional
- principal components
- lower dimensional
- subspace learning
- independent component analysis
- high dimensional data
- feature space
- dimension reduction
- linear projection
- face recognition
- high order
- linear discriminant analysis
- feature extraction
- covariance matrix
- discriminant analysis
- higher order
- subspace methods
- kernel pca
- singular value decomposition
- diffusion tensor
- high dimensional
- negative matrix factorization
- principal components analysis
- locality preserving projections
- face databases
- linear subspace
- data points
- subspace learning algorithm
- higher order tensors