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We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the location and segmentation of regions containing handwriting and machine-printed text in documents images. This approach is a greedy forward selection algorithm that iteratively constructs one linear feature at a time. The algorithm...
Current approaches for generating wrappers for web page extraction suffer from the requirement of huge amount of labeled training pages to obtain satisfying results. On the other hand, the quality of data extracted by fully automatic methods is not reliable. In this paper, we propose a novel method to facilitate wrapper generation by combining wrapper induction and page analysis approaches. In addition...
In this paper, a new method for text categorization rule extraction based on fuzzy decision tree is presented. An improved chi-square statistic is adopted. The new method reduces features of text in terms of the improved chi-square statistic, and so largely reduces the dimensions of the vector space. And then, a new method for the construction of membership functions is presented, which reduces the...
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