A priori and a posteriori error analyses of an HDG method for the Brinkman problem.
Luis F. GaticaFilánder A. SequeiraPublished in: Comput. Math. Appl. (2018)
Keyphrases
- error rate
- detection method
- synthetic data
- computational cost
- clustering method
- significant improvement
- theoretical analysis
- neural network
- probabilistic model
- dynamic programming
- prior knowledge
- preprocessing
- computational complexity
- segmentation method
- high precision
- fully automatic
- support vector machine
- mutual information
- high accuracy
- input image
- pairwise
- objective function
- training data
- image segmentation