A Steepest Descent-Like Method for Variable Order Vector Optimization Problems.
José Yunier Bello CruzGemayqzel Bouza AllendePublished in: J. Optim. Theory Appl. (2014)
Keyphrases
- cost function
- optimization problems
- high accuracy
- detection method
- training data
- multiscale
- high precision
- dynamic programming
- classification accuracy
- d objects
- classification method
- segmentation method
- synthetic data
- data sets
- detection algorithm
- support vector machine svm
- computationally efficient
- optimization method
- markov random field
- edge detection
- principal component analysis
- support vector machine
- experimental evaluation
- significant improvement
- prior knowledge
- evolutionary algorithm
- preprocessing
- computational complexity
- neural network