Graph-based multimodal semi-supervised image classification

@article{Xie2014GraphbasedMS,
  title={Graph-based multimodal semi-supervised image classification},
  author={Wenxuan Xie and Zhiwu Lu and Y. Peng and J. Xiao},
  journal={Neurocomputing},
  year={2014},
  volume={138},
  pages={167-179}
}
  • Wenxuan Xie, Zhiwu Lu, +1 author J. Xiao
  • Published 2014
  • Computer Science
  • Neurocomputing
    • Abstract We investigate an image classification task where 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 important for image search engine on photo sharing websites. In previous studies, it is handled by first training a multiple kernel learning classifier using both image content and tags to score unlabeled training images and then establishing a least-squares regression (LSR) model on… CONTINUE READING
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    Methods Citations
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    References

    SHOWING 1-10 OF 51 REFERENCES
    Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression
    • 2
    • PDF
    Multimodal semi-supervised learning for image classification
    • 358
    • Highly Influential
    • PDF
    Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification
    • 160
    • PDF
    Image Classification using Random Forests and Ferns
    • 1,302
    • PDF
    Image annotation with tagprop on the MIRFLICKR set
    • 97
    • PDF
    Learning Social Tag Relevance by Neighbor Voting
    • 373
    • PDF
    Multiple Graph Label Propagation by Sparse Integration
    • 79
    Unified Video Annotation via Multigraph Learning
    • 446
    • PDF
    Image retagging
    • 110
    • PDF
    Image tag refinement towards low-rank, content-tag prior and error sparsity
    • 258
    • PDF