然而现有的分段半马尔可夫模型只能解决具有近似相同长度的模式检测问题，不允许模式在时间上存在缩放。
However, the existing segmental semi-Markov model can only detect the matching sequences with approximately equal length to that of the query pattern, i. e., without time scaling.
基于公用信息模型(CIM)标准和可缩放矢量图形(SVG)画面格式，提出了分散式图模合成方法。
Based on the common information model (CIM) standard and scalable vector graphics (SVG) format, a method of combining these decentralized graphics and model is presented.
基于公用信息模型(CIM)标准和可缩放矢量图形(SVG)画面格式，提出了分散式图模合成方法。
Based on the common information model (CIM) standard and scalable vector graphics (SVG) format, a method of combining these decentralized graphics and model is presented.
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