Boosting RANSAC via Dual Principal Component Pursuit.
Yunchen YangXinyue ZhangTianjiao DingDaniel P. RobinsonRené VidalManolis C. TsakirisPublished in: CoRR (2021)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- hyperplane
- dimensionality reduction
- robust estimation
- learning algorithm
- correlation coefficient
- principal component regression
- outlier removal
- linear classifiers
- parameter estimation
- machine learning
- feature set
- feature selection
- kernel space
- covariance matrix
- ensemble learning
- similarity measure
- robust regression
- feature points
- boosting algorithms
- principal curves
- random sample consensus
- data sets