Image Classification via fusing the latent deep CNN feature

In recent years, the convolutional neural network (CNN) has made great achievements in image classification. It can extract features of image and classify them from a large number of image data automatically. Compared with these traditional feature extraction techniques (e.g., SIFT, HOG, GIST), the convolutional neural network can make better performance and does not need hand designed image features. However, how to further enhance the...