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Automatic image categorization has become increasingly important with the development of Internet and the growth in the size of image databases. Although the image categorization can be formulated as a typical multiclass classification problem, two major challenges have been raised by the real-world images. On one hand, though using more labeled training data may improve the prediction performance, obtaining the image labels is a time consuming as well as biased process. On the other hand, moredoi:10.1109/iccv.2013.218 dblp:conf/iccv/CaiNCH13a fatcat:exig5ikgeral3mqvwbe4luybl4