An Adaptable Image Retrieval System With Relevance Feedback Using Kernel Machines and Selective Sampling.
Mahmood R. Azimi-SadjadiJaime SalazarSaravanakumar SrinivasanPublished in: IEEE Trans. Image Process. (2009)
Keyphrases
- selective sampling
- relevance feedback
- kernel machines
- active learning
- semi supervised
- semi supervised learning
- random sampling
- image retrieval
- learning algorithm
- support vector
- labeled and unlabeled data
- supervised learning
- labeled data
- low level features
- machine learning
- unlabeled data
- graph kernels
- kernel function
- learning problems
- training examples
- information retrieval
- feature selection
- support vector machine
- multiple kernel learning
- training set
- multi view
- co training
- learning machines
- training data
- text categorization
- transfer learning
- similarity measure
- multi class
- generalization error
- reproducing kernel hilbert space
- learning process