PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters.
Qun LiuEdward CollierSupratik MukhopadhyayPublished in: CoRR (2019)
Keyphrases
- svm classifier
- character segmentation
- training set
- classification process
- classification scheme
- support vector machine
- classification algorithm
- classification method
- discriminative learning
- feature selection
- decision trees
- automatic recognition
- support vector
- multi layer perceptron
- classification rate
- training process
- learning vector quantization
- discriminative classifiers
- feature set
- test set
- class labels
- classification accuracy
- classification models
- discriminative training
- nearest neighbor classifier
- character recognition
- binary classifiers
- training samples
- classification decisions
- machine learning
- label noise
- supervised training
- feature vectors
- unsupervised learning
- generative model
- text classification
- feature space
- support vector machine svm
- image classification
- classifier combination
- multiple classifiers
- training data
- scene images
- discriminative methods
- handwritten documents
- bayesian network classifiers
- classifier ensemble
- optical character recognition
- gray scale images
- weak classifiers
- learning algorithm
- writer identification
- robust classification
- handwritten characters
- individual classifiers