Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer Learning.
Jiawei PengRuihan GaoLong NguyenYunfeng LiangSteven Tien Guan ThngZhiping LinPublished in: ICIP (2019)
Keyphrases
- transfer learning
- text classification
- cross domain learning
- machine learning
- labeled data
- learning tasks
- active learning
- machine learning algorithms
- cross domain text classification
- cross domain
- imbalanced data sets
- class imbalance
- reinforcement learning
- data sets
- support vector
- knowledge transfer
- feature extraction
- semi supervised learning
- domain adaptation
- supervised learning
- collaborative filtering
- manifold alignment
- feature selection
- model selection
- class labels
- transfer knowledge
- multi task learning
- text categorization
- unlabeled data
- facial expressions
- multi class
- support vector machine
- classification accuracy
- feature space
- face recognition
- information retrieval
- domain specific
- training set
- label information
- decision trees
- class imbalanced
- data mining