Handwritten Digit Recognition Based on Principal Component Analysis and Support Vector Machines.
Rui LiShiqing ZhangPublished in: CSEE (1) (2011)
Keyphrases
- handwritten digit recognition
- principal component analysis
- support vector
- large margin classifiers
- learning machines
- linear discriminant analysis
- principal components
- dimensionality reduction
- dimension reduction
- face recognition
- independent component analysis
- logistic regression
- multi class
- covariance matrix
- cross validation
- discriminant analysis
- support vector machine
- svm classifier
- loss function
- kernel function
- training examples
- low dimensional
- feature extraction
- binary classification
- generalization ability
- data sets
- hyperplane
- face images
- flowshop
- objective function
- support vector regression
- pattern recognition
- machine intelligence
- training procedure
- generalization bounds
- feature selection
- learning algorithm