Semi-Supervised Learning with Attention-Based CNN for Classification of Coffee Beans Defect.
Po-Han ChenSin-Ye JhongChih-Hsien HsiaPublished in: ICCE-TW (2022)
Keyphrases
- semi supervised learning
- semi supervised classification
- supervised learning
- unlabeled data
- improve the classification accuracy
- semi supervised
- unsupervised learning
- co training
- labeled data
- machine learning
- uci datasets
- semi supervised learning algorithms
- transductive support vector machine
- labeled and unlabeled data
- active learning
- unlabeled samples
- text classification
- supervised classification
- instance selection
- supervised learning algorithms
- class labels
- pattern recognition
- manifold regularization
- training examples
- transfer learning
- image classification
- label propagation
- classification accuracy
- training data
- labeled examples
- semi supervised learning methods
- support vector
- training set
- learning models
- incremental learning
- feature extraction
- label information
- graph based semi supervised learning
- feature set
- text categorization
- feature selection
- object recognition
- data points
- decision boundary
- domain adaptation
- support vector machine
- dimensionality reduction
- classification models