Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification.
Kitsuchart PasupaSuchat TungjitnobSupawit VatathanavaroPublished in: Multim. Tools Appl. (2020)
Keyphrases
- semi supervised learning
- unsupervised learning
- supervised learning
- semi supervised classification
- semi supervised
- improve the classification accuracy
- unlabeled data
- co training
- semi supervised learning algorithms
- machine learning
- semisupervised learning
- transductive support vector machine
- labeled data
- labeled and unlabeled data
- blood cells
- discriminative models
- multi label classification
- unlabeled samples
- training data
- active learning
- classification accuracy
- feature selection
- text classification
- manifold regularization
- sparse coding
- supervised learning algorithms
- label propagation
- learning algorithm
- class labels
- generative model
- image classification
- support vector machine
- training set
- pattern recognition
- metric learning
- incremental learning
- early stage
- network structure
- training samples
- multi view
- reinforcement learning
- social networks