A Novel Multiple Instance Learning Approach for Image Retrieval Based on Adaboost Feature Selection.
Xun YuanXian-Sheng HuaMeng WangGuo-Jun QiXiuqing WuPublished in: ICME (2007)
Keyphrases
- multiple instance learning
- feature selection
- multi class
- image retrieval
- image annotation
- object based image retrieval
- multiple instance
- instance selection
- image categorization
- feature space
- supervised learning
- relevance feedback
- image database
- image search
- support vector machine
- support vector
- text categorization
- feature set
- classification accuracy
- visual features
- image content
- multi task
- object detection
- ensemble learning
- text classification
- image understanding
- image representation
- dimensionality reduction
- semi supervised
- feature extraction
- cbir systems
- learning algorithm
- model selection
- feature subset
- pairwise
- image segmentation
- machine learning
- diverse density