An RBF-Based Pattern Recognition Method by Competitively Reducing Classification-Oriented Error.
Yea-Shuan HuangYao-Hong TsaiPublished in: ICPR (2) (2002)
Keyphrases
- pattern recognition
- support vector machine svm
- classification method
- support vector machine
- pattern classification
- accuracy rate
- pairwise
- preprocessing
- cross validation
- classification process
- significant improvement
- dynamic programming
- machine learning methods
- error rate
- feature set
- rbf neural network
- neural network
- classification algorithm
- detection method
- clustering method
- high accuracy
- benchmark data sets
- model selection
- classification scheme
- feature vectors
- feature extraction
- machine learning
- extracted features
- radial basis function network
- basis functions
- svm classifier
- training samples
- linear combination
- unsupervised learning
- image classification
- knn
- image analysis
- feature space
- learning algorithm