Iteratively reweighted least squares for robust regression via SVM and ELM.
Hongwei DongLiming YangPublished in: CoRR (2019)
Keyphrases
- reweighted least squares
- robust regression
- extreme learning machine
- support vector machine svm
- support vector
- linear regression
- regression methods
- support vector regression
- multiple models
- support vector machine
- density estimation
- knn
- image derivatives
- neural network
- gaussian processes
- support vectors
- feature selection
- kernel function
- kernel regression
- variable selection
- regression method
- multi class
- feature vectors
- svm classifier
- training set
- hyperplane
- training data
- bundle adjustment
- k nearest neighbor
- least squares
- feature space