An accuracy assessment method for geographical line data sets based on buffering.
Håvard TveitePublished in: Int. J. Geogr. Inf. Sci. (1999)
Keyphrases
- high accuracy
- data sets
- highly accurate
- computational complexity
- classification accuracy
- neural network
- computational efficiency
- synthetic data
- detection method
- clustering method
- dynamic programming
- cost function
- accuracy rate
- support vector machine svm
- training set
- error rate
- objective function
- small data sets
- computational speed
- improved accuracy
- clustering algorithm
- similarity measure
- test data
- segmentation method
- preprocessing
- mutual information
- prior knowledge
- support vector machine
- significant improvement
- computational cost