SVM-based active feedback in image retrieval using clustering and unlabeled data.
Rujie LiuYuehong WangTakayuki BabaDaiki MasumotoShigemi NagataPublished in: Pattern Recognit. (2008)
Keyphrases
- unlabeled data
- relevance feedback
- active learning
- semi supervised learning
- labeled data
- semi supervised
- image retrieval
- data points
- unsupervised learning
- co training
- supervised learning
- semi supervised classification
- semi supervised clustering
- learning algorithm
- clustering algorithm
- pairwise constraints
- labeled examples
- text classification
- training data
- labeled and unlabeled data
- clustering method
- small set of labeled
- domain adaptation
- training set
- k means
- text categorization
- labeled training data
- training examples
- support vector
- label propagation
- number of labeled examples
- class labels
- support vector machine
- constrained clustering
- machine learning
- supervised learning algorithms
- transfer learning
- spectral clustering
- visual features
- document clustering
- feature space
- high dimensional
- multi view
- prior knowledge
- support vector machine svm
- labeled instances
- probabilistic model