Dynamic spectrum classification by divergence-based kernel machines and its application to the detection of worn-out banknotes.
Tsukasa IshigakiTomoyuki HiguchiPublished in: ICASSP (2008)
Keyphrases
- kernel machines
- support vector
- support vector machine
- semi supervised
- machine learning
- classification accuracy
- feature extraction
- feature vectors
- image classification
- pattern recognition
- multiple kernel learning
- decision trees
- feature set
- support vector machine svm
- training process
- high dimensional
- unsupervised learning
- generalization ability
- feature selection