Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character Recognition.
Sabri BayoudhHarold MouchèreLaurent MicletÉric AnquetilPublished in: ECML (2007)
Keyphrases
- character recognition
- training examples
- learning algorithm
- sample selection bias
- positive examples
- machine vision
- negative examples
- learning tasks
- training data
- learning process
- concept learning
- image processing
- learning phase
- supervised learning
- reinforcement learning
- decision trees
- feature space
- word recognition
- license plate recognition