Training a calligraphy style classifier on a non-representative training set.
George NagyPublished in: Document Recognition and Retrieval (2016)
Keyphrases
- training set
- training samples
- training examples
- training data
- test set
- supervised learning
- decision trees
- classification accuracy
- classification algorithm
- data sets
- decision boundary
- training set size
- feature space
- active learning
- training dataset
- cross validation
- nearest neighbor
- training patterns
- support vector machine
- classification error
- class labels
- svm classifier
- learning algorithm
- test data
- class distribution
- feature selection
- nearest neighbour
- sufficient training data
- weak classifiers
- training phase
- positive examples
- training process
- generalization error
- base classifiers
- unlabeled data
- machine learning