The Kikuchi Hierarchy and Tensor PCA.
Alexander S. WeinAhmed El AlaouiCristopher MoorePublished in: CoRR (2019)
Keyphrases
- principal component analysis
- dimensionality reduction
- tensor analysis
- covariance matrix
- principal components analysis
- principal components
- higher order
- hierarchical structure
- principle component analysis
- high order
- face recognition
- feature extraction
- linear discriminant analysis
- free energy
- kernel pca
- singular value decomposition
- dimension reduction
- k means
- tensor field
- feature space
- feature dimension
- feature selection
- discriminant analysis
- random projections
- model selection
- low dimensional
- subspace methods
- structure tensor
- high dimensional
- tensor product