Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks.
Tolga BirdalAaron LouLeonidas J. GuibasUmut SimsekliPublished in: CoRR (2021)
Keyphrases
- intrinsic dimension
- neural network
- persistent homology
- intrinsic dimensionality
- topological features
- high dimensions
- diffusion maps
- computational geometry
- nearest neighbor
- high dimensional data
- pattern recognition
- dimension reduction
- morse theory
- high dimensional
- data distribution
- input image
- computer vision
- machine learning