Kernel based principal component for recognizing handwritten numbers.
Xiaoxiao SongSonghua XuWillard L. MirankerPublished in: IJCNN (2010)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- dimensionality reduction
- character recognition
- principal component regression
- kernel space
- principal components analysis
- kernel methods
- handwritten characters
- support vector
- hyperplane
- covariance matrix
- handwriting recognition
- correlation coefficient
- word recognition
- document analysis
- feature extraction
- numeral strings
- machine learning