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    Chapter and Conference Paper

    When does Co-training Work in Real Data?

    Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard two-view co-training requires ...

    Charles X. Ling, Jun Du, Zhi-Hua Zhou in Advances in Knowledge Discovery and Data Mining (2009)

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    Chapter and Conference Paper

    Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network

    This paper proposed a new method of extracting texture features based on Gabor wavelet. In addition, the application of these features for bark classification applying radial basis probabilistic network (RBPNN...

    Zhi-Kai Huang, De-Shuang Huang, Ji-**ang Du… in Neural Information Processing (2006)