Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression

@article{Xie2013MultimodalSI,
  title={Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression},
  author={Wenxuan Xie and Zhiwu Lu and Y. Peng and J. Xiao},
  journal={2013 IEEE International Conference on Image Processing},
  year={2013},
  pages={4307-4311}
}
  • Wenxuan Xie, Zhiwu Lu, +1 author J. Xiao
  • Published 2013
  • Computer Science
  • 2013 IEEE International Conference on Image Processing
  • We investigate an image classification task where the training images come along with tags, but only a subset being labeled, and the goal is to predict the class label of test images without tags. This task is crucial for image search engine on photo sharing Web sites. In previous work, it is handled by first learning a multiple kernel learning classifier using both image content and tags to score unlabeled training images, and then building up a least-squares regression (LSR) model on visual… CONTINUE READING
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