ID 原文 译文
21735 结果表明：仅跟踪两颗可见卫星，便可以进行定位解算，并且垂直方向上的定位误差从8.2 m (RMSE)下降到了5.2 m，定位结果的波动从4.6 m下降到了0.8 m。 The results show that BDS can position solution to track two visible satellites, and vertical positioning accuracy is significantly improved. The positioning error in the vertical direction is decreased from 8.2 m (RMSE) to 5.2 m, and the fluctuation of the positioning results decreased from 4.6 m to 0.8 m.
21736 针对核极限学习机高斯核函数参数选优难，影响学习机训练收敛速度和分类精度的问题，该文提出一种K插值单纯形法的核极限学习机算法。 The kernel Extreme Learning Machine (ELM) has a problem that the kernel parameter of the Gauss kernel function is hard to be optimized. As a result, training speed and classification accuracy of kernel ELM are negatively affected. To deal with that problem, a novel kernel ELM based on K interpolation simplex method is proposed.
21737 把核极限学习机的训练看作一个无约束优化问题，在训练迭代过程中，用Nelder-Mead单纯形法搜索高斯核函数的最优核参数，提高所提算法的分类精度。 The training process of kernel ELM is considered as an unconstrained optimal problem. Then, the Nelder-Mead Simplex Method (NMSM) is used as an optimal method to search the optimized kernel parameter, which improves the classification accuracy of kernel ELM.
21738 引入K插值为Nelder-Mead单纯形法提供合适的初值，减少单纯形法的迭代次数，提高了新算法的训练收敛效率。 Furthermore, the K interpolation methodis used to provide appropriate initial values for the Nelder-Mead simplex to reduce the number of iterations, and as a result, the training speed of ELM is improved.
21739 通过在UCI数据集上的仿真实验并与其它算法比较，新算法具有更快的收敛速度和更高的分类精度。 Comparative results on UCI dataset demonstrate that the novel ELM algorithm has better training speed and higher classification accuracy.
21740 针对相关滤波跟踪算法在车载视频下由于环境复杂及目标尺度变化等情况下容易跟踪失败的问题，该文提出一种基于背景信息的尺度自适应相关滤波跟踪算法。 For videos captured by in-car cameras, the filter-based tracking is a challenging task due to complex environments and mutable object scales. A scale adaptive tracking filter is proposed based on the background information.
21741 首先利用背景感知相关滤波跟踪器融合方向梯度直方图特征预测目标下一帧位置，然后根据预测位置选取图像块进行检测，最后结合动态尺度比例金字塔模型对目标进行尺度估计。 Firstly, the relative motion of each object is estimated by extracting features from gradient histograms between frames. Then, the object location on the next frame is determined and utilized to delimit an image block. Finally, the object scale is obtained through dynamic scaling pyramid model within image block.
21742 实验选取了 KITTI 数据库中 23 段车载视频和标注国内的 4 段车载视频进行测试，实验结果表明，该算法能有效降低车载环境的复杂背景、目标尺度变化等因素干扰，整体性能优于 KCF, DSST, SAMF, SATPLE 等主流相关滤波算法，对车载环境下复杂背景和尺度变化的目标跟踪具有鲁棒性。 The proposed algorithm is examined by 27 in-car videos including 23 KITTI videos and 4 domestic videos. In experiments, the proposed algorithm suppresses effectively the interferences of environments and objects. It achieves more accurate and more robust object tracking than several popular benchmarks including KCF, DSST, SAMF, SATPLE.
21743 磁感应成像(MIT)是一种利用电磁感应原理重构生物组织电导率分布的非接触式电阻抗成像技术。 Magnetic Induction Tomography (MIT) is a contactless Electrical Impedance Tomography (EIT) technique to reconstruct the conductivity distribution of biological tissue using the principle of electromagnetic induction.
21744 该文利用亥姆霍兹线圈和 20 个检测线圈搭建了旋转式磁感应成像系统，利用滤波反投影算法重构图像。 In this paper, a rotating magnetic induction imaging system is constructed by using Helmholtz coil and 20 detection coils, with filtered back projection algorithm.