Relevance Feedback for Content-Based Image Retrieval Using Proximal Support Vector Machine.
YoungSik ChoiJiSung NohPublished in: ICCSA (2) (2004)
Keyphrases
- relevance feedback
- support vector machine
- image retrieval
- information retrieval systems
- document retrieval
- query expansion
- multi class
- feature weighting
- support vector machine svm
- active learning
- support vector
- k nearest neighbor
- feature vectors
- user feedback
- low level features
- feature selection
- svm classifier
- feature space
- training data
- retrieval model
- image search
- retrieval effectiveness
- information retrieval
- feedback information
- machine learning
- high classification accuracy
- stock market prediction
- knn
- retrieval framework
- support vector regression
- cbir systems
- decision forest
- soft margin
- implicit relevance feedback
- relevant documents
- retrieval accuracy
- decision boundary
- retrieval process
- hyperplane
- kernel function
- training set
- pseudo relevance feedback
- query refinement
- classification method
- text categorization
- language model
- negative feedback
- web search
- user system interaction