SVM-Based Active Feedback in Image Retrieval Using Clustering and Unlabeled Data.
Rujie LiuYuehong WangTakayuki BabaYusuke UeharaDaiki MasumotoShigemi NagataPublished in: CAIP (2007)
Keyphrases
- unlabeled data
- relevance feedback
- active learning
- labeled data
- semi supervised learning
- data points
- semi supervised
- image retrieval
- semi supervised clustering
- unsupervised learning
- semi supervised classification
- clustering algorithm
- co training
- labeled and unlabeled data
- labeled training data
- supervised learning
- text classification
- small set of labeled
- pairwise constraints
- labeled examples
- training examples
- training data
- class labels
- domain adaptation
- clustering method
- learning algorithm
- k means
- training set
- supervised learning algorithms
- number of labeled examples
- decision boundary
- machine learning
- transfer learning
- text categorization
- learning process
- positive examples
- distance metric
- support vector
- data sets
- labeled data for training
- spectral clustering
- label propagation
- visual features
- multi view
- nearest neighbor
- constrained clustering