Algorithm 790: CSHEP2D: cubic Shepard method for bivariate interpolation of scattered data.
Robert J. RenkaPublished in: ACM Trans. Math. Softw. (1999)
Keyphrases
- input data
- noisy data
- interpolation method
- synthetic data
- experimental evaluation
- high accuracy
- improved algorithm
- computational cost
- cost function
- dynamic programming
- detection algorithm
- significant improvement
- linear interpolation
- computationally efficient
- data sets
- segmentation algorithm
- optimization algorithm
- prior information
- recognition algorithm
- theoretical analysis
- information loss
- clustering method
- preprocessing
- large scale data sets
- optimization method
- k means
- segmentation method
- support vector machine svm
- detection method
- extracted features
- matching algorithm
- computational complexity
- tree structure
- prior knowledge
- objective function
- dimensional data
- similarity measure
- dissimilarity matrix
- interpolation methods
- image interpolation
- bilinear interpolation
- sampling methods
- learning algorithm
- classification algorithm
- classification trees
- point distribution
- spline interpolation
- labeling process
- em algorithm
- training samples
- missing data
- similarity matrix
- back projection
- data points
- spectral clustering
- probabilistic model
- data structure
- convergence rate
- table lookup
- cubic spline interpolation