BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval

@article{Zhang2006BALASEB,
  title={BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval},
  author={Ruofei Zhang and Zhongfei Zhang},
  journal={Image Vision Comput.},
  year={2006},
  volume={24},
  pages={211-223}
}
This paper is on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retrieval precision by learning through the user relevance feedback data. However, we have investigated the problem by noting two important unique characteristics of the problem: small sample collection and asymmetric sample distributions between positive and negative samples. We have developed a novel approach to empirical Bayesian… CONTINUE READING
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