A superlinearly convergent SQP method without boundedness assumptions on any of the iterative sequences.
Jin-bao JianQiao-fang ChenZong-wen HuangPublished in: J. Comput. Appl. Math. (2014)
Keyphrases
- dynamic programming
- detection method
- high accuracy
- high precision
- similarity measure
- theoretical analysis
- clustering method
- significant improvement
- prior knowledge
- pairwise
- cost function
- experimental evaluation
- computational complexity
- multistage
- fully automatic
- support vector machine svm
- optimization method
- model selection
- medical images
- edge detection
- hidden markov models
- video sequences
- objective function
- multiscale