Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach.
Xiucai DingRong MaPublished in: CoRR (2022)
Keyphrases
- noisy data
- high dimensional
- low dimensional
- noise tolerant
- dimensionality reduction
- learning algorithm
- high dimensional data
- high dimensionality
- manifold learning
- intrinsic dimensionality
- data points
- missing data
- feature space
- high dimension
- semi supervised
- input space
- inductive inference
- noise free
- statistical queries
- neural network
- positive data
- class noise