(1+ε)-ANN Data Structure for Curves via Subspaces of Bounded Doubling Dimension.
Jacobus ConradiAnne DriemelBenedikt KolbePublished in: CoRR (2023)
Keyphrases
- data structure
- artificial neural networks
- using artificial neural networks
- neural network
- efficient data structures
- back propagation
- application of artificial neural networks
- high dimensional data
- b spline
- feed forward
- ann models
- recurrent neural networks
- data types
- suffix tree
- data sets
- space efficient
- closed curves
- lower dimensional
- planar curves
- canonical correlations
- grassmann manifold
- endpoints
- neural network model
- parameter space
- radial basis function
- genetic algorithm
- principal component analysis
- quadtree
- temporal dimension
- arbitrarily oriented
- order tensor
- association rules
- low dimensional
- index structure
- curve matching
- genetic algorithm ga
- continuous functions
- digital curves
- dimensional data
- multidimensional data