Ambiguous Proximity Distribution

@inproceedings{Wang2014AmbiguousPD,
  title={Ambiguous Proximity Distribution},
  author={Quanquan Wang and Yongping Li},
  booktitle={ICIC},
  year={2014}
}
Proximity Distribution Kernel is an effective method for bag-of-featues based image representation. In this paper, we investigate the soft assignment of visual words to image features for proximity distribution. Visual word contribution function is proposed to model ambiguous proximity distributions. Three ambiguous proximity distributions is developed by three ambiguous contribution functions. The experiments are conducted on both classification and retrieval of medical image data sets. The… 

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