The Converging Squares Algorithm: An Efficient Method for Locating Peaks in Multidimensions.
Lawrence O'GormanArthur C. SandersonPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1984)
Keyphrases
- dynamic programming
- detection algorithm
- improved algorithm
- k means
- high accuracy
- detection method
- preprocessing
- clustering method
- cost function
- computational cost
- significant improvement
- optimization algorithm
- computationally efficient
- highly efficient
- segmentation algorithm
- synthetic and real images
- classification algorithm
- estimation algorithm
- experimental evaluation
- tree structure
- recognition algorithm
- computational speed
- decomposition method
- computational efficiency
- optimization method
- matching algorithm
- theoretical analysis
- experimental study
- computational complexity
- probabilistic model
- high efficiency
- single pass
- convergence rate
- mathematical model
- input data
- mapping function
- energy function
- region of interest
- selection algorithm
- classification method
- similarity measure
- segmentation method
- learning algorithm
- objective function
- expectation maximization
- test images
- noisy data
- hybrid algorithm
- simulated annealing
- clustering algorithm
- em algorithm
- prior information
- level set
- exhaustive search
- edge detection
- optimal path
- support vector machine
- support vector machine svm
- interpolation method
- image matching