Tomato Quality Classification Based on Transfer Learning Feature Extraction and Machine Learning Algorithm Classifiers.
Hassan Shabani MputuAhmed Abdel-MawgoodAtsushi ShimadaMohammed Sharaf SayedPublished in: IEEE Access (2024)
Keyphrases
- transfer learning
- machine learning algorithms
- feature extraction
- learning algorithm
- learning tasks
- classification algorithm
- extracted features
- text classification
- cross domain learning
- machine learning
- feature selection
- labeled data
- feature set
- training samples
- training data
- co training
- classification models
- unlabeled data
- semi supervised learning
- decision trees
- labeled and unlabeled data
- supervised learning
- feature vectors
- knowledge transfer
- class labels
- reinforcement learning
- pattern classification
- support vector
- active learning
- feature space
- multi task learning
- support vector machine svm
- classification accuracy
- image classification
- training examples
- target domain
- cross domain
- semi supervised
- training set
- unsupervised learning
- svm classifier
- naive bayes
- multi task
- domain adaptation
- decision boundary
- label information
- text mining
- support vector machine
- dimensionality reduction
- test set
- text categorization
- transfer knowledge
- model selection
- transferring knowledge
- classifier combination
- knowledge discovery
- face recognition