它涉及到统计，分析和模式识别，行为分析，时间序列分析，预测建模，可视化，因果的研究等等。
It involves statistics, profiling and pattern recognition, behavioral analysis, time series analysis, predictive modeling, visualization, cause-and-effect studies and more.
最终通过比较各待识序列的实现可能性大小，完成对该待识序列的模式识别。
Finally, pattern of the action sequence segment can be confirmed by comparing possibility scale of subsequences waiting for recognition.
第四章应用结构模式识别的方法，建立多阶均线形态组合序列。
In Chapter 4, we use the method of structural pattern recognition, build multistage sequence of equal-string form.
归纳了支持向量机在诸如模式识别、函数逼近、时间序列预测、故障预测和识别、信息安全、电力系统以及电力电子领域中的应用。
SVM applications, such as pattern recognition, function approaching, time series prediction, fault prediction and recognition, information security, power system and power electronics, are described.
双谱法通过采用模式识别的方法对地震序列的双谱提取特征，通过降维实现裂缝发育带的检测。
The method of bispectrum can extract characteristic of seismic series bispectrum and detect fracture zones by decreasing dimensions.
首先尝试运用数字图像处理与模式识别领域的知识对于视频图像序列进行图像预处理与人脸识别。
Knowledge about digital image processing and pattern recognition is applied to do image preprocessing and face recognition about video image sequences.
利用紫外光谱结合支持向量机(SVM)模式识别原理建立了短串联重复序列(STR)的分型方法。
An approach for genotyping of STR locus based on ultraviolet (UV) spectroscopy and support vector machine (SVM) was studied.
利用紫外光谱结合支持向量机(SVM)模式识别原理建立了短串联重复序列(STR)的分型方法。
An approach for genotyping of STR locus based on ultraviolet (UV) spectroscopy and support vector machine (SVM) was studied.
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