复杂人 meaning in Chinese
complex man
Examples
- The experiment shows that the model can achieve high recognition rate and is suitable for complex ear image libraries
实验结果表明，该模型取得了较高的识别率，尤其适用于规模大的复杂人耳库。 - Proceed from the reality in china , the " humanize " definition of encouraging public servant should be defined as " complicted man " and using " synchronization motivation theory " to guide management of the public servant incentive
摘要本文通过对公务员激励的前提“人性”的辨识，提出应以“复杂人”界定为前提，运用“同步激励”理论来指导公务员的激励管理。 - Traditional management philosophy only to the management of people as an important factor to investigate , and its people and human feelings , needs only to examine the theory exist for the achievement of general management purposes or in nature basis . that the traditional management philosophy research perspective , the person is the product management emerged
近代西方管理史上先后出现了四种( “经济人” 、 “社会人” 、 “自我实现人” 、 “复杂人” )主要的人性假设,成为近代西方管理的内容、结构、形式变化的理论依据。 - Diversitic motivation model should be established to motivate members in different stages . initially evolvement of human hypothesis is discussed and figured out that the precondition of it in this motivation model is complexity person , decision - maker and civilization person . then the evolvement duration is analysised and motivation theory in management is clarifed and described the main views and limits connected with project teams . after integrating kinds of motivation models , the direction to motivation model of project teams is described finally
本文首先探讨激励理论人性假设的演变过程,并指出本文激励模型的人性假设基础是“复杂人” 、 “决策人”和“文化人” ,继而分析管理学激励理论的演化过程和分类,阐明与项目团队有关的激励理论的主要观点和可借鉴的方面,指明构建项目团队激励模型的方向。 - However , some of face recognition problems still require further development , this is the case for problems of recognition face images conveying changes in illumination , facial expression and changes due to the time delay between the acquistion of the reference and tested face images . our main work is to analysis methods of extraction face features and contraction of classifier . the work presented in this paper is to apply self - organizing feature map and minor component to extraction features from multi - view face images , then combine those features as a new combined feature set , in order to reduce redundancy data , we apply clone algorithms to reduce data through rotation in input space
我们改进了一种基于矩理论的识别方法，给出了计算公式和证明过程，可用于解决小规模人脸识别问题；我们将智能方法应用到人脸识别中，分别利用自组织特征映射和次分量方法抽取人脸的整体特征和局部特征，依据特征融合理论，重新组合为新的复合特征，为压缩特征数据，我们首次引入克隆选择算法自动进行特征优化选择，最后，利用支持矢量机构造多分类器进行分类识别，在不同规模人脸识别库上仿真结果表明，该系统自适应能力强，分类识别精度高，适用于大规模复杂人脸识别问题。