Enhancing SVM Active Learning for Image Retrieval Using Semi-supervised Bias-Ensemble.
Jun WuMingyu LuChun-Li WangPublished in: ICPR (2010)
Keyphrases
- semi supervised
- active learning
- image retrieval
- training set
- relevance feedback
- svm classifier
- semi supervised support vector machines
- support vector machine svm
- fully labeled
- semi supervised learning
- support vector
- unlabeled data
- labeled data
- unlabeled instances
- training data
- supervised learning
- ensemble classifier
- sample selection
- ensemble learning
- learning algorithm
- feature space
- support vector machine
- feature selection
- imbalanced data
- base classifiers
- bias variance decomposition
- image database
- labeled examples
- ensemble methods
- generalization ability
- active learning framework
- machine learning
- cost sensitive
- training examples
- kernel function
- pool based active learning
- visual features
- random sampling
- class imbalance
- neural network
- metric learning
- decision trees
- knn
- selective sampling
- support vectors
- feature ranking
- data sets
- decision forest
- batch mode
- classifier ensemble
- multi class classification
- hyperplane
- decision boundary
- generalization error
- classification algorithm
- training samples
- multi class
- binary classification
- classification accuracy
- feature vectors
- pairwise
- co training
- concept drift