Scalable multi-label annotation via semi-supervised kernel semantic embedding.
Jorge A. VanegasHugo Jair EscalanteFabio A. GonzálezPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- multi label
- image annotation
- semi supervised
- multi label classification
- automatic image annotation
- multi label learning
- semantic concepts
- text categorization
- visual concepts
- graph cuts
- active learning
- semi supervised learning
- image classification
- labeled data
- learning tasks
- class labels
- binary classification
- text classification
- multi label image annotation
- low level features
- multiple labels
- unlabeled data
- kernel function
- visual similarity
- image content
- pairwise
- supervised learning
- information retrieval
- support vector
- feature space
- web images
- high dimensional
- semantic similarity
- unsupervised learning
- kernel methods
- semantic information
- image retrieval
- visual features
- similarity measure
- feature extraction
- hierarchical text categorization
- feature selection