On fusing the latent deep CNN feature for image classification

@article{Liu2018OnFT,
  title={On fusing the latent deep CNN feature for image classification},
  author={Xueliang Liu and Rongjie Zhang and Zhijun Meng and Richang Hong and Guangcan Liu},
  journal={World Wide Web},
  year={2018},
  volume={22},
  pages={423-436}
}
Image classification, which aims at assigning a semantic category to images, has been extensively studied during the past few years. More recently, convolution neural network arises and has achieved very promising achievement. Compared with traditional feature extraction techniques (e.g., SIFT, HOG, GIST), the convolutional neural network can extract features from image automatically and does not need hand designed features. However, how to further improve the classification algorithm is still… CONTINUE READING

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