Improving Small-Scale Dataset Classification Performance Through Weak-Label Samples Generated by InfoGAN.
Meiyang ZhangQiguang MiaoDaohui GeZili ZhangPublished in: Big Data (CCF) (2020)
Keyphrases
- small scale
- training dataset
- benchmark datasets
- pattern recognition
- class labels
- pattern classification
- automatic classification
- decision trees
- classification systems
- classification accuracy
- training samples
- optimum path forest
- data sets
- larger scale
- classification scheme
- feature set
- supervised learning
- feature extraction
- uci datasets
- support vector machine svm
- classification algorithm
- classification method
- microarray datasets
- training set
- feature space
- machine learning
- class membership
- small sample
- multi label classification
- support vector
- support vector machine
- multi label
- image classification
- feature vectors
- classification rules
- feature selection
- model selection
- small samples
- output space
- text classification