Leveraging Noisy Labels of Nearest Neighbors for Label Correction and Sample Selection.
Hua JiangYixiong ChenLi LiuXiaoguang HanXiao-Ping ZhangPublished in: ICASSP (2024)
Keyphrases
- sample selection
- label noise
- active learning
- nearest neighbor
- training set
- training data
- k nearest neighbor
- labeling effort
- knn
- active learning framework
- data points
- training examples
- semi supervised
- multi label
- labeled data
- machine learning
- learning algorithm
- supervised learning
- class labels
- semi supervised learning
- label space
- labeling process
- decision boundary
- label propagation
- data sets
- label information
- high dimensional
- instance selection
- decision trees
- image labeling
- cost sensitive
- learning process
- classification accuracy
- unlabeled data
- support vector machine