An Effective Image Representation Method Using Kernel Classification

@article{Wang2014AnEI,
  title={An Effective Image Representation Method Using Kernel Classification},
  author={Haoxiang Wang and Jingbin Wang},
  journal={2014 IEEE 26th International Conference on Tools with Artificial Intelligence},
  year={2014},
  pages={853-858}
}
The learning of image representation is always the most important problem in computer vision community. In this paper, we propose a novel image representation method by learning and using kernel classifiers. We firstly train classifiers using the one-against-all rule, then use them classify the candidate images, and finally using the classification responses as the new representations. The Euclidean distance between the classification response vectors are used as the new similarity measure. The… CONTINUE READING
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