This article proposes one kind of duplicated news web pages removal algorithm though study news content on elements of news subject.
提出了一种通过新闻主题要素学习新闻内容的新闻网页去重算法。
A lot of examples are provided to testify the feasibility of the method, and compare with some the existed degree-reduction and knot-removal algorithm.
通过大量的实例验证了算法的正确性，并与以往的降阶和节点去除算法进行了比较。
Based on the brief introductions of ICA theory and algorithm, we apply ICA to the removal of ocular artifacts from EEG recordings.
在简要分析ICA理论及其算法的基础上，提出将其应用到脑电中的眼电伪迹的去除任务。
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