Description: How to face contact with people' s daily lives, especially surge in the number of images on the Internet for effective classification, has become the new hot spot. Although the existing image classification techniques have made a good performance, but they still exist some problems. First, most of the existing image classification algorithms are based on the underlying characteristics of the image, ' can not solve image classification in the " semantic gap" problem Second, most of the image classification algorithm is always ignored and some parts of the image between spatial relationships.
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基于词袋模型的图像分类方法研究.pdf
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