High-Dimensional Data Learning Based on Tensorial-Singular Space of Tensor Train Cores.
Ouafae KarmoudaRémy BoyerJérémie BoulangerPublished in: EUSIPCO (2022)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensional
- input space
- data analysis
- dimension reduction
- lower dimensional
- high dimensions
- high dimensional spaces
- data points
- manifold learning
- nearest neighbor
- similarity search
- dimensional data
- higher dimensional
- original data
- low rank
- data sets
- learning algorithm