Local aggregation function learning based on support vector machines

@article{Zhang2009LocalAF,
  title={Local aggregation function learning based on support vector machines},
  author={Jun Zhang and Lei Ye},
  journal={Signal Processing},
  year={2009},
  volume={89},
  pages={2291-2295}
}
In content-based image retrieval (CBIR), feature aggregation is an approach to obtain image similarity by combining multiple feature distances. Most existing feature aggregation methods focus on heuristic-based or linear combination functions, which cannot sufficiently explore the interdependencies between features. Instead, a single aggregation function is always applied to all query images without considering the special features of each query image. In this paper, aggregation is formulated… CONTINUE READING

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