This paper uses the Vector Space Model to express the features of event description segment and calculate the importance of feature words in different classes.
使用向量空间模型来表示事件描述片段的特征，并分类计算特征词的重要度，最后对文本中的事件片段进行定位和分类。
The initial segment is determined by detecting the distance changes of the critical feature parameter vector. With the dynamic programming method, the segmental accuracy is improved.
该算法通过检测临界带特征矢量参数的距离变化确定初始分段边界，结合动态规划方法提高分段的准确性。
The method employing support vector machine to segment mouth from face image was presented, and the characteristic parameters were extracted according to the lip template and moving lip feature.
首先提出了一种支持向量机分割嘴唇区域的方法，并基于口型模板提取描述嘴唇形状的特征参数。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
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