Calibration of ϵ-insensitive loss in support vector machines regression.
Hongzhi TongMichael K. NgPublished in: J. Frankl. Inst. (2019)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- support vector regression
- regression problems
- support vector machine
- feature selection
- loss function
- kernel function
- classification accuracy
- camera calibration
- logistic regression
- model selection
- cross validation
- multi class classification
- hyperparameters
- generalization ability
- binary classification
- structural risk minimization
- radial basis function
- linear regression
- decision function
- hyperplane
- camera parameters
- focal length
- linear discriminant analysis
- svm classifier
- regression methods
- regression model
- computer vision