An Efficient Algorithm to Reduce the Inflations in Multi-Supertask Environment by Using a Transient Behavior Prediction Method.
Da-Ren ChenChiun-Chieh HsuPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2005)
Keyphrases
- high accuracy
- dynamic programming
- computational cost
- cost function
- preprocessing
- prediction error
- estimation algorithm
- prediction algorithm
- improved algorithm
- optimization algorithm
- reduce the computational complexity
- detection algorithm
- segmentation method
- clustering method
- recognition algorithm
- theoretical analysis
- experimental evaluation
- computational efficiency
- significant improvement
- detection method
- computationally efficient
- matching algorithm
- segmentation algorithm
- objective function
- single pass
- classification method
- computational complexity
- mathematical model
- optimization method
- tree structure
- support vector machine svm
- synthetic and real images
- reconstruction method
- k means
- reduce the computational cost
- high efficiency
- classification algorithm
- highly efficient
- probabilistic model
- learning algorithm
- lifting wavelet
- selection algorithm
- energy function
- particle swarm optimization
- input data
- prediction model
- prior information
- region of interest
- image matching
- experimental study
- simulated annealing
- optimal solution
- noisy data
- kalman filter
- steady state
- np hard
- feature space
- clustering algorithm