Contrarily, the model breaks down quickly and becomes inaccurate when you have few data points for comparison.
相反，如果能比较的数据点相对很少的话，这个模型很快就会损坏，不再准确。
The paper proposed an algorithm for detecting and matching control points based on the analysis and comparison of the present algorithms for detection of significant points.
通过对现有的特征点检测算法的分析与比较，提出了一种控制点的检测与匹配算法。
This paper has an analysis and comparison for main methods from different points of view including patterns language, theory foundation, language element and tool support.
该文对主要几种方法进行了分析和比较，分别从模式语言、理论基础、语言元素、工具支持等角度来论述。
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