Optimising energy and overhead for large parameter space simulations.
Alexander J. M. KellMatthew ForshawA. Stephen McGoughPublished in: IGSC (2019)
Keyphrases
- rigid motion
- parameter space
- image space
- parameter values
- energy consumption
- high dimensional
- low energy
- multivariate data
- energy minimization
- search space
- minimum energy
- machine learning
- numerical simulations
- starting points
- hough space
- lie group
- likelihood function
- energy saving
- optical flow
- low overhead
- bayesian networks