实例分析证明该模型是可行的，与已知方法相比具有较高的执行效率和较低的时间复杂度。
Experimental results show that the URSIM is feasible. Compared with the existed methods, the model is efficient and can reduce time complexity.
一是提出并实现了词类概率模型，它具有较高的性能和较低的时间复杂度，是基于句法规则的语义分析和语言理解的基础。
The proposed Word-Class Stochastic Model (WCSM) is the basis for syntax rule based semantic parsing and spoken language understanding which has better performance.
为迅速地检索到与当前异常情况最匹配的处理规则，设计了时间复杂度较低的异常处理规则检索算法。
For finding the most similar exception handling rule from exception rule base, the searching algorithm with low time complexity was designed.
对基于DEM数据库的可视域分析，该算法在时间复杂度较低的情况下大大减少了访问数据库的次数，取得了很好的效果。
For viewshed analysis based on DEM database, the algorithm having a good experimental effect reduces obviously the frequency of access to database with lower time complexity.
结果证明，本文的算法具有良好的视差计算准确性和较低的计算时间复杂度。
The experiment result proves that this strategy can get good accuracy disparity image.
由于减弱了背景区域的干扰，该算法具有较高定位精度和较低时间复杂度。
The algorithm has high location accuracy and low time complexity due to weakening the interference of background areas.
由于减弱了背景区域的干扰，该算法具有较高定位精度和较低时间复杂度。
The algorithm has high location accuracy and low time complexity due to weakening the interference of background areas.
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