Adaptive margin slack minimization in RKHS for classification.
Yinan YuKonstantinos I. DiamantarasTomas McKelveySun-Yuan KungPublished in: ICASSP (2016)
Keyphrases
- support vector
- loss function
- pattern recognition
- training set
- feature extraction
- classification algorithm
- classification accuracy
- decision trees
- feature space
- image classification
- supervised learning
- feature vectors
- classification method
- feature set
- support vector machine
- objective function
- decision boundary
- kernel methods
- soft margin
- cross validation
- support vector machine svm
- training samples
- machine learning
- vector space
- active learning
- reproducing kernel hilbert space
- data sets