实验结果说明基于视觉和听觉的多模态识别算法能提高计算机对人的情感识别率。
The findings show that the audio and video information can be combined using a rule-based system to improve the recognition rate.
结果表明,多参考点互相关差分模型能够有效地进行环境激励下的模态识别,并且多项式特征值法比增广矩阵法所得结果更好。
It shows that the presented method can be used to identify modal parameters effectively under ambient excitation and that the polynomial eigenvalue method is superior to the augmented matrix method.
介绍一种基于多参考点最小二乘频域法(一种工作模态法)的刚体参数识别方法。
A rigid body parameters identification method based on muhi-reference least-squares frequency domain scheme (one of the operational modal analysis techniques) is presented.
结果表明可以应用曲率模态法和柔度曲率法对梁类结构进行多损伤识别。
The results show that the multiple damaged locations of the beam can be diagnosed effectively by means of curvature mode and flexibility curvature.
由于模式识别、机器学习等问题的复杂性比较高,数据分布通常呈现多模态分布。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
仪器为对中小型结构的试验模态分析提供了单模态参数识别与多模态参数识别等多种参数拟合方法,并预留了增加新的拟合分析算法的接口。
The systemoffers different methods of parameter identifications for structures test including simple mode and multiple modes, and retains the interface of adding new smooth algorithms.
融合二维和三维信息的多模态人脸识别可望取得更好的识别效果。
Several algorithms on 3D and multi-modal face recognition have been investigated in this dissertation.
手写体汉字识别系统提取反映待识别手写体汉字本身的定性与定量相结合的各种全局特征信息构成该对象的多模式模态特征模型。
The system extracts kinds of global features to constitute the object's multi-modal feature model which integrates handwritten Chinese characters 'quantitative and qualitative features.
手写体汉字识别系统提取反映待识别手写体汉字本身的定性与定量相结合的各种全局特征信息构成该对象的多模式模态特征模型。
The system extracts kinds of global features to constitute the object's multi-modal feature model which integrates handwritten Chinese characters 'quantitative and qualitative features.
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