Rough classification of handwritten characters by divide-and-unify method.
Toshiaki EjimaYutaka KatsuyamaMasayuki KimuraPublished in: Systems and Computers in Japan (1988)
Keyphrases
- classification method
- classification accuracy
- machine learning methods
- classification algorithm
- training samples
- support vector machine svm
- objective function
- pattern classification
- neural network
- computational cost
- significant improvement
- cross validation
- pattern recognition
- benchmark data sets
- classification process
- accuracy rate
- clustering method
- handwritten character recognition
- high accuracy
- image processing
- cost function
- decision trees
- pairwise
- preprocessing
- machine learning
- handwritten characters
- classification rate
- training data
- machine vision
- support vector
- rough sets
- feature space
- active learning
- detection method
- dynamic programming
- multi class
- recognition rate