Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method).
Tunjo PericZoran BabicJosip MatejasPublished in: Central Eur. J. Oper. Res. (2018)
Keyphrases
- significant improvement
- high accuracy
- classification method
- preprocessing
- high precision
- computational cost
- clustering method
- computational complexity
- experimental evaluation
- methods require
- optimization algorithm
- linear programming
- detection method
- comparative analysis
- multi objective
- hybrid method
- pairwise
- search methods
- retrieval method
- alternative methods
- fusion scheme
- classification accuracy
- cost function
- dynamic programming
- linear regression
- feature selection
- similarity measure
- video sequences
- synthetic and real images
- evolutionary algorithm
- gold standard
- decision makers
- benchmark data sets
- probabilistic model
- machine learning methods
- computational efficiency
- support vector machine
- cross validation
- segmentation method