A weakly compressible SPH method based on a low-dissipation Riemann solver.
Chi ZhangXiangyu HuNikolaus A. AdamsPublished in: J. Comput. Phys. (2017)
Keyphrases
- high accuracy
- helmholtz principle
- fully automatic
- synthetic data
- mutual information
- image segmentation
- clustering method
- optimization algorithm
- input data
- computational complexity
- preprocessing
- support vector machine
- search algorithm
- feature set
- classification accuracy
- experimental evaluation
- image quality
- prior knowledge
- pairwise
- similarity measure
- high precision
- face recognition