Active learning for image retrieval with Co-SVM.
Jian ChengKongqiao WangPublished in: Pattern Recognit. (2007)
Keyphrases
- active learning
- image retrieval
- relevance feedback
- support vector machine svm
- support vector
- training set
- machine learning
- support vector machine
- sample selection
- image database
- statistical learning theory
- knn
- svm classifier
- visual features
- feature selection
- cost sensitive
- training data
- image content
- random sampling
- training examples
- kernel function
- retrieval method
- supervised learning
- learning process
- low level features
- text retrieval
- multi class
- active learning framework
- image representation
- multi class classification
- semi supervised
- feature space
- support vectors
- object retrieval
- image collections
- image matching
- learning algorithm
- classification algorithm
- learning strategies
- labeled data
- nearest neighbor
- imbalanced data classification
- labeling effort
- crowd sourced
- unlabeled instances
- pattern recognition
- selective sampling
- imbalanced data
- feature vectors
- svm classification
- experimental design
- ls svm
- binary classification
- hyperplane
- neural network
- image classification
- batch mode
- class imbalance
- random selection
- image search
- transfer learning
- active learning strategies
- image annotation
- learning problems