Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application.
Cesar U. SolisJulio B. ClempnerAlexander S. PoznyakPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- computational cost
- high accuracy
- objective function
- computational complexity
- improved algorithm
- detection algorithm
- significant improvement
- preprocessing
- experimental evaluation
- detection method
- theoretical analysis
- computationally efficient
- cost function
- dynamic programming
- estimation algorithm
- optimization method
- clustering method
- segmentation method
- synthetic and real images
- recognition algorithm
- optimization algorithm
- energy function
- segmentation algorithm
- learning algorithm
- convergence rate
- k means
- em algorithm
- globally optimal
- tree structure
- classification algorithm
- convex hull
- reconstruction method
- global optimality
- support vector machine svm
- similarity measure
- probabilistic model
- matching algorithm
- input data
- negative matrix factorization
- penalty function
- intensity information
- constrained optimization
- np hard
- gradient method
- linear programming
- edge detection
- support vector machine
- expectation maximization
- gradient information
- image sequences