Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine.
Olga KouroptevaOleg OkunMatti PietikäinenPublished in: ESANN (2003)
Keyphrases
- handwritten digits
- support vector machine
- learning algorithm
- support vector machine svm
- locally linear embedding
- feature selection
- machine learning
- decision trees
- pattern recognition
- viewpoint
- supervised learning
- k means
- character recognition
- manifold learning
- machine vision
- discriminant analysis
- neighborhood preserving embedding
- em algorithm
- low dimensional
- dimensionality reduction
- image features
- knn
- classification accuracy
- support vector
- similarity measure
- feature extraction