Anfeng Xu

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Transfer learning is a problem defined over two domains. These two domains share the same feature space and class label space, but have significantly different distributions. One domain has sufficient labels, named as source domain, and the other domain has few labels, named as target domain. The problem is to learn an effective classifier for the target(More)
  • Changwang Liu, Jianfang Wang, Zhidu Liu, Anfeng Xu, Yihua Lan
  • 2015
Texture is an important characteristic of images. Image texture classification is widely used in many applications, such as detection of industry product, document class, and digital image processing of remote sensing and so on. Several K-View based algorithms have been proposed for image texture classification. This study proposed an improved k-view(More)
Image mosaic is an important research content in digital image processing, and could be used to solve the problem of observing large objects with narrow view, such as 360 degree panorama stitching. Microscopic observation of liver biopsy is a commonly used method in diagnosing liver diseases, which are always rely on the whole liver slice. Therefore, the(More)
  • Jianfang Wang, Kunxiao Shen, Anfeng Xu, Yihua Lan
  • 2015
This article mainly discusses how to extract the interested information from massive amounts of micro-blogs and recommend right information to user, which is a hot research area in recommendation systems and social networks, too. To solve this problem, a model called Multi-tags Latent Dirichlet Allocation is proposed. Using this model, topics paid attention(More)
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