Learn from one data set to classify all - A multi-target domain adaptation approach for white blood cell classification.
Yusuf Yargi BaydilliÜmit AtilaAbdullah ElenPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- domain adaptation
- data sets
- multi target
- document classification
- classification accuracy
- test data
- training data
- text classification
- training set
- feature vectors
- labeled data
- co training
- cross domain
- image classification
- feature extraction
- support vector machine
- multiple sources
- decision trees
- class labels
- semi supervised learning
- visual tracking
- supervised learning
- sentiment classification
- multi target tracking
- unlabeled data
- infrared
- transfer learning
- image processing
- support vector
- feature representation
- feature space
- feature selection
- learning algorithm