Kernel self-organising maps for classification.
K. W. LauHujun YinSimon J. HubbardPublished in: Neurocomputing (2006)
Keyphrases
- support vector
- feature space
- classification accuracy
- machine learning
- pattern recognition
- support vector machine
- classification systems
- supervised learning
- pattern classification
- classification rules
- automatic classification
- classification scheme
- classification process
- image classification
- object classification
- training set
- data sets
- kernel fisher discriminant
- input space
- histogram intersection kernel
- machine learning methods
- decision rules
- svm classifier
- class labels
- feature set
- multi class
- feature extraction
- decision trees