On computing high-dimensional Riemann theta functions.
Shrinivas ChimmalgiSander WahlsPublished in: Commun. Nonlinear Sci. Numer. Simul. (2023)
Keyphrases
- high dimensional
- multi dimensional
- dimensionality reduction
- similarity search
- metric space
- high dimensionality
- low dimensional
- neural network
- nearest neighbor
- data points
- query processing
- feature space
- object recognition
- pattern recognition
- feature selection
- high dimensional data
- computer vision
- real world
- microarray data
- parameter space
- databases
- sparse data
- high dimensional problems