On characterizing the evolution of embedding space of neural networks using algebraic topology.
Suryaka SureshBishshoy DasVinayak AbrolSumantra Dutta RoyPublished in: Pattern Recognit. Lett. (2024)
Keyphrases
- neural network
- embedding space
- euclidean space
- low dimensional
- pattern recognition
- dimensionality reduction
- graph embedding
- manifold learning
- input space
- high dimensional
- geometric structure
- machine learning
- data representation
- discriminant analysis
- nonlinear dimensionality reduction
- high dimensional data
- image processing