A novel support vector regression algorithm incorporated with prior knowledge and error compensation for small datasets.
Zhenyu LiuYunkun XuChan QiuJianrong TanPublished in: Neural Comput. Appl. (2019)
Keyphrases
- regression algorithm
- error compensation
- prior knowledge
- support vector
- feature selection algorithms
- semi supervised
- feature selection
- piecewise linear
- learning algorithm
- data sets
- small number
- cross validation
- support vector machine
- model selection
- labeled data
- kernel function
- hyperplane
- machine learning
- viewpoint
- generalization ability
- motion estimation
- classification accuracy
- image sequences