Incorporating multiple SVMs for active feedback in image retrieval using unlabeled data.
Zongmin LiYang LiuHua LiPublished in: ICDIP (2010)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- training data
- image retrieval
- active learning
- training set
- co training
- relevance feedback
- semi supervised classification
- supervised learning
- text classification
- data points
- support vector
- labeled examples
- decision boundary
- multi class
- learning algorithm
- domain adaptation
- labeled and unlabeled data
- labeled training data
- number of labeled examples
- text categorization
- feature selection
- transductive svm
- labeled data for training
- class labels
- machine learning
- support vector machine
- transfer learning
- prior knowledge
- classification accuracy
- positive examples
- naive bayes
- unsupervised learning
- multiple kernel learning
- data mining
- feature space
- knn
- training examples
- cost sensitive
- learning problems
- learning tasks
- svm classifier