A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization.
Ernesto G. BirginJosé Mario MartínezPublished in: Comput. Optim. Appl. (2019)
Keyphrases
- objective function
- preprocessing
- cost function
- experimental evaluation
- support vector machine svm
- support vector machine
- high precision
- synthetic data
- regularization term
- data sets
- convex optimization
- prior information
- detection method
- feature set
- high accuracy
- principal component analysis
- dynamic programming
- optical flow