Moser-Tardos resampling algorithm, entropy compression method and the subset gas.
Paula M. S. FialhoBernardo N. B. de LimaAldo ProcacciPublished in: CoRR (2020)
Keyphrases
- preprocessing
- significant improvement
- detection algorithm
- high accuracy
- dynamic programming
- computational cost
- experimental evaluation
- objective function
- cost function
- matching algorithm
- detection method
- information entropy
- initial set
- improved algorithm
- estimation algorithm
- optimization algorithm
- recognition algorithm
- single pass
- computational complexity
- classification algorithm
- segmentation algorithm
- segmentation method
- theoretical analysis
- computational efficiency
- similarity measure
- clustering method
- energy function
- computationally efficient
- input data
- high efficiency
- convergence rate
- synthetic and real images
- reconstruction method
- selection algorithm
- optimization method
- relative entropy
- tree structure
- region of interest
- classification method
- probabilistic model
- learning algorithm
- k means
- optimal solution
- candidate set
- main idea consists
- information theory
- selected subset
- minimum error
- entropy measure
- search space
- support vector machine
- simulated annealing
- kalman filter
- data compression