Biologically Inspired Feature Manifold for Scene Classification

@article{Song2010BiologicallyIF,
  title={Biologically Inspired Feature Manifold for Scene Classification},
  author={Dongjin Song and Dacheng Tao},
  journal={IEEE Transactions on Image Processing},
  year={2010},
  volume={19},
  pages={174-184}
}
Biologically inspired feature (BIF) and its variations have been demonstrated to be effective and efficient for scene classification. It is unreasonable to measure the dissimilarity between two BIFs based on their Euclidean distance. This is because BIFs are extrinsically very high dimensional and intrinsically low dimensional, i.e., BIFs are sampled from a low-dimensional manifold and embedded in a high-dimensional space. Therefore, it is essential to find the intrinsic structure of a set of… CONTINUE READING
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