Neural Bag-of-Features learning
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文摘
A neural generalization of the Bag-of-Features (BoF) model is introduced. The proposed model supports the discriminant weighting of the feature space. Two incremental algorithms (for training and classification) are proposed. A method for providing visual attention information for the BoF model is introduced. The proposed method is evaluated using four datasets from different domains.

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