Un-Supervised, Semi-Supervised and Supervised Image Retrieval Based on Conceptual Features.
Ja-Hwung SuTzung-Pei HongYu-Tang ChangHsu-Yuan TungPublished in: BigMM (2016)
Keyphrases
- semi supervised
- supervised learning
- image retrieval
- unsupervised learning
- unsupervised methods
- semi supervised learning
- unlabeled data
- active learning
- learning algorithm
- pairwise
- semi supervised classification
- labeled data
- low level
- labeled and unlabeled data
- feature set
- multi view
- unsupervised feature selection
- multiple instance learning
- label information
- weakly supervised
- supervised classification
- supervised classifiers
- co training
- metric learning
- visual features
- feature selection
- key frames
- low level features
- class labels
- training examples
- co occurrence
- d objects
- classification accuracy
- feature vectors
- similarity measure
- feature extraction
- machine learning