Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples.
Dan C. CiresanPublished in: SYNASC (2008)
Keyphrases
- negative examples
- positive examples
- training set
- training examples
- training data
- positive and negative examples
- svm classifier
- handwritten numerals
- support vector
- binary classification
- image segmentation
- concept learning
- test set
- multiple classifiers
- recognition rate
- feature extraction
- object recognition
- feature set
- support vector machine
- class labels
- background knowledge
- machine learning methods
- regular expressions
- machine learning algorithms
- supervised learning