A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data.
Jingting MaAnqi WangFeng LinStefan WesargMarius ErdtPublished in: Comput. Medical Imaging Graph. (2019)
Keyphrases
- kernel principal component analysis
- erroneous data
- shape modeling
- kernel pca
- principal components
- kernel function
- feature extraction
- discriminant analysis
- preprocessing
- principal component analysis
- feature space
- high dimensional
- deformable models
- shape model
- kernel methods
- high dimensional feature space
- classification method
- input space
- feature vectors
- support vector machine svm
- spectral clustering
- medical image analysis
- computer vision