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91.
在行人重识别任务中存在数据集标注难度大,样本量少,特征提取后细节特征缺失等问题。针对以上问题提出深度双重注意力的生成与判别联合学习的行人重识别。首先,构建联合学习框架,将判别模块嵌入生成模块,实现图像生成和判别端到端的训练,及时将生成图像反馈给判别模块,同时优化生成模块与判别模块。其次,通过相邻的通道注意力模块间连接和相邻空间注意力模块间连接,融合所有通道特征和空间特征,构建深度双重注意力模块,将其嵌入教师模型,使模型能更好地提取行人细节身份特征,提高模型识别能力。实验结果表明,该算法在Market-1501和DukeMTMC-ReID数据集上具有较好的鲁棒性、判别性。 相似文献
92.
A novel supervised learning approach, called the locally reduced convex hull (LRCH), is proposed for land cover classification. The method described is capable of increasing the class separability and the representational capacity of the training set, which leads to its high generalization ability in applications. The effectiveness of the LRCH is demonstrated on the classification problem of a multi-spectral data set. In experiments, the LRCH was compared with six common classifiers. Statistical results in terms of the overall accuracy, the Kappa coefficient and McNemar's test show that LRCH outperforms most of the other approaches, with a speed that is comparable to all of them. 相似文献
93.
基于模式空间处理的宽带测向算法 总被引:1,自引:0,他引:1
基于模式空间处理方法提出了一种不需要角度预估计的宽带空间谱估计算法,将总体最小二乘相干信号子空间算法(TLS-CSM)中的聚焦矩阵的构造方法和频率加权聚焦方法引入模式空间宽带空间谱估计算法中,结合了模式空间算法不需要角度预估计的优点和酉聚焦的无聚焦信噪比损失的特性,大大减小了聚焦过程中的信噪比损失,从而进一步提高了算法的性能。 相似文献
94.
WANG Yan NIU Jianjun School of Transportation Science Engineering Beihang University Beijing China International Petroleum Exploration Production Corporation China Petroleum & Chemical Corporation Beijing China 《机械工程学报(英文版)》2011,(4):669-675
Iterative Learning Control (ILC) captures interests of many scholars because of its capability of high precision control implement without identifying plant mathematical models, and it is widely applied in control engineering. Presently, most ILC algorithms still follow the original ideas of ARIMOTO, in which the iterative-learning-rate is composed by the control error with its derivative and integral values. This kind of algorithms will result in inevitable problems such as huge computation, big storage capacity for algorithm data, and also weak robust. In order to resolve these problems, an improved iterative learning control algorithm with fixed step is proposed here which breaks the primary thought of ARIMOTO. In this algorithm, the control step is set only according to the value of the control error, which could enormously reduce the computation and storage size demanded, also improve the robust of the algorithm by not using the differential coefficient of the iterative learning error. In this paper, the convergence conditions of this proposed fixed step iterative learning algorithm is theoretically analyzed and testified. Then the algorithm is tested through simulation researches on a time-variant object with randomly set disturbance through calculation of step threshold value, algorithm robustness testing,and evaluation of the relation between convergence speed and step size. Finally the algorithm is validated on a valve-serving-cylinder system of a joint robot with time-variant parameters. Experiment results demonstrate the stability of the algorithm and also the relationship between step value and convergence rate. Both simulation and experiment testify the feasibility and validity of the new algorithm proposed here. And it is worth to noticing that this algorithm is simple but with strong robust after improvements, which provides new ideas to the research of iterative learning control algorithms. 相似文献
95.
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97.
详细介绍了点检定修制在下花园发电厂的实施过程,总结了点检定修制实施的经验,探讨了3种不同的检修管理模式,并进一步指出了目前存在的问题,提出了下一步工作设想。 相似文献
98.
99.
Li Ma Linlin Ci Genyan Ge 《Frontiers of Electrical and Electronic Engineering in China》2009,4(1):72-77
A model construction of a multi-agent system (MAS) and the basic function of the agent are described. The precision control
method using the multi-CPU of a programmable logic controller (PLC) is introduced, and a distributed method using multiple
CPUs to control different motion machines is given. The test results indicate that in industrial control fields, the combination
of using the credible PLC to control the motion machine and multi-CPU task distributing methods can solve multiaxis machine
linkage and implication, providing a more credible method for multi-axis motion units.
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Translated from Journal of North University of China (Natural Science Edition), 2007, 28(1): 32–37 [译自:中北大学学报(自然科学版)] 相似文献
100.
报道了一台激光二极管(LD)侧面抽运的高功率连续1338 nm Nd∶YAG激光器.通过分析Nd∶YAG的跃迁谱线和相应的受激发射截面的特点,根据多跃迁谱线激光材料波长选择的耦合率条件,合理设计激光棒和腔镜的耦合率参数.激光谱线测量表明,成功抑制了1064 nm和1319 nm波长激光的振荡.以高功率808 nm激光二极管侧面抽运模块为抽运源,采用平-平腔结构,研究了耦合输出率分别为5.3%,7.4%和11%的输出镜的输出情况,比较分析了不同腔长对激光输出的影响.在抽运功率为555 W时,采用5.3%的耦合输出镜和20 cm腔长,获得大于100 W的1338 nm单一波长激光输出,光-光转换效率大于18%,斜率效率为35%,输出光束的M2因子为36. 相似文献