We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
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)
English online learning system is needed as the background, the college English teaching practice in order to improve the teachers' teaching efficiency, the reform of students' learning mode, promoting informatization, standardization and scientific management for the purpose of the development of software systems. Of college students' English learning in(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)
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)
  • Anfeng Xu
  • 2010 The 2nd International Conference on Computer…
  • 2010
Satisfaction evaluation of user of e-commerce for tourism is very important for construction of perfect e-commerce website for tourism. In the study, analytic hierarchy process is proposed to satisfaction evaluation of user of e-commerce for tourism. By analyzing the satisfaction evaluation index of user of e-commerce for tourism, a tree structure composed(More)
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)
  • 1