Perturbation Bounds for Orthogonally Decomposable Tensors and Their Applications in High Dimensional Data Analysis.
Arnab AuddyMing YuanPublished in: CoRR (2020)
Keyphrases
- high dimensional data analysis
- dimension reduction
- preprocessing step
- multimodal data
- variable selection
- high dimensional
- upper bound
- high order
- dimensionality reduction methods
- face recognition
- high dimensional data
- supervised dimensionality reduction
- dimensionality reduction
- worst case
- nearest neighbor
- discriminant analysis
- least squares
- kernel trick