On a robust ALE method with discrete primary and secondary conservation.
Seongwon KangHeinz PitschNahmkeon HurPublished in: J. Comput. Phys. (2013)
Keyphrases
- synthetic data
- preprocessing
- cost function
- dynamic programming
- computationally efficient
- detection method
- high accuracy
- neural network
- genetic algorithm
- high precision
- clustering method
- probabilistic model
- missing data
- support vector machine svm
- theoretical analysis
- data sets
- experimental evaluation
- support vector machine
- significant improvement
- optimization algorithm
- artificial neural networks
- reinforcement learning
- image sequences
- computer vision
- learning algorithm
- highly accurate
- discrete version