Enhancing relevance feedback in image retrieval using unlabeled data.
Zhi-Hua ZhouKe-Jia ChenHong-Bin DaiPublished in: ACM Trans. Inf. Syst. (2006)
Keyphrases
- unlabeled data
- relevance feedback
- image retrieval
- active learning
- labeled data
- semi supervised learning
- semi supervised
- supervised learning
- co training
- training data
- labeled examples
- learning algorithm
- semi supervised classification
- data points
- image search
- text classification
- training set
- visual features
- text categorization
- training examples
- labeled and unlabeled data
- domain adaptation
- image content
- number of labeled examples
- cbir systems
- positive examples
- labeled training data
- class labels
- small set of labeled
- transfer learning
- image database
- supervised learning algorithms
- low level features
- unlabeled images
- label propagation
- data sets
- machine learning
- information retrieval
- unsupervised learning
- learning process
- object recognition
- decision boundary
- multiple features
- prior knowledge
- nearest neighbor
- multi view
- data mining
- supervised and semi supervised