Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition.
Zheng ZhangXiu YangIvan V. OseledetsGeorge E. KarniadakisLuca DanielPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2015)
Keyphrases
- high dimensional
- dimensionality reduction
- tensor decomposition
- hierarchical decomposition
- similarity search
- higher order
- statistical analysis
- high order
- statistically significant
- low dimensional
- high dimensional problems
- hierarchical representation
- uncertain data
- feature space
- metric space
- hierarchical clustering
- decomposition methods
- visual data
- high dimensionality
- data sets
- hierarchical structure
- nearest neighbor
- sample size
- coarse to fine
- multiple regression
- feature selection
- high dimensional spaces
- input space
- multi dimensional
- high dimensional data