Classification of Canker on Small Datasets Using Improved Deep Convolutional Generative Adversarial Networks.
Min ZhangShuheng LiuFangyun YangJi LiuPublished in: IEEE Access (2019)
Keyphrases
- restricted boltzmann machine
- deep learning
- uci repository
- unsupervised learning
- benchmark datasets
- pattern recognition
- image classification
- deep belief networks
- uci machine learning repository
- support vector machine
- social networks
- automatic classification
- classification accuracy
- classification method
- data sets
- classification models
- benchmark data sets
- network structure
- text classification
- supervised learning
- support vector
- active learning
- object recognition
- multi agent
- associative classifiers
- accurate classifiers
- neural network
- imbalanced datasets
- data mining
- machine learning
- training set
- bayesian network classifiers
- class imbalance
- feature vectors
- complex networks
- small number
- classification algorithm
- class labels
- feature selection
- support vector machine svm
- decision trees
- feature set