Least squares twin bounded support vector machines based on L1-norm distance metric for classification.
He YanQiaolin YeTian'an ZhangDong-Jun YuXia YuanYiqing XuLiyong FuPublished in: Pattern Recognit. (2018)
Keyphrases
- distance metric
- support vector
- least squares
- distance metric learning
- classification accuracy
- metric learning
- support vector machine
- cross validation
- learning machines
- euclidean distance
- large margin classifiers
- knn classification
- svm classifier
- linear transformation
- feature vectors
- pattern recognition
- feature extraction
- generalization ability
- feature selection
- data sets
- image classification
- distance function
- data points
- machine learning
- kernel learning
- support vector machine svm
- text classification
- hyperparameters
- ls svm
- support vector regression
- kernel methods
- class labels
- kernel function