The world economy prospers when it is open,but declines when it is closed.Since the end of the cold war,economic globalization has developed rapidly,forming a new global development pattern that features intertwined i...The world economy prospers when it is open,but declines when it is closed.Since the end of the cold war,economic globalization has developed rapidly,forming a new global development pattern that features intertwined interests of countries all over the world.The report to the 20th National Congress of CPC pointed out that at present,changes in the world,times and history are unfolding in a way unseen in the past.展开更多
为了解决视频行人再识别领域仅使用卷积神经网络进行行人特征提取效果不佳的问题,提出一种基于卷积神经网络和Transformer的ResTNet(ResNet and Transformer network)网络模型。ResTNet利用ResNet50网络得到局部特征,令中间层输出作为Tr...为了解决视频行人再识别领域仅使用卷积神经网络进行行人特征提取效果不佳的问题,提出一种基于卷积神经网络和Transformer的ResTNet(ResNet and Transformer network)网络模型。ResTNet利用ResNet50网络得到局部特征,令中间层输出作为Transformer的先验知识输入。在Transformer分支中不断缩小特征图尺寸,扩大感受野,充分挖掘局部特征之间的关系,生成行人的全局特征,同时利用移位窗口方法减少模型计算量。在大规模MARS数据集上,Rank-1和mAP分别达到86.8%和80.3%,比基准分别增加了3.8%和3.3%,在2个小规模数据集上也取得了良好效果。在几大数据集上的大量实验表明,本文方法能增强行人识别的鲁棒性,有效提高行人再识别的准确率。展开更多
A novel algorithm of global motion estimation is proposed. First, through Gabor wavelet transform （GWT）, a kind of energy distribution of image is obtained and checkpoints are selected according to a probability dec...A novel algorithm of global motion estimation is proposed. First, through Gabor wavelet transform （GWT）, a kind of energy distribution of image is obtained and checkpoints are selected according to a probability decision approach proposed. Then, the initialized motion vectors are obtained via a hierarcbal block-matching based on these checkpoints. Finally, by employing a 3-parameter motion model, precise parameters of global motion are found. From the experiment, the algorithm is reliable and robust.展开更多
The large finite element global stiffness matrix is an algebraic, discreet, even-order, differential operator of zero row sums. Direct application of the, practically convenient, readily applied, Gershgorin’s eigenva...The large finite element global stiffness matrix is an algebraic, discreet, even-order, differential operator of zero row sums. Direct application of the, practically convenient, readily applied, Gershgorin’s eigenvalue bounding theorem to this matrix inherently fails to foresee its positive definiteness, predictably, and routinely failing to produce a nontrivial lower bound on the least eigenvalue of this, theoretically assured to be positive definite, matrix. Considered here are practical methods for producing an optimal similarity transformation for the finite-elements global stiffness matrix, following which non trivial, realistic, lower bounds on the least eigenvalue can be located, then further improved. The technique is restricted here to the common case of a global stiffness matrix having only non-positive off-diagonal entries. For such a matrix application of the Gershgorin bounding method may be carried out by a mere matrix vector multiplication.展开更多
文摘The world economy prospers when it is open,but declines when it is closed.Since the end of the cold war,economic globalization has developed rapidly,forming a new global development pattern that features intertwined interests of countries all over the world.The report to the 20th National Congress of CPC pointed out that at present,changes in the world,times and history are unfolding in a way unseen in the past.
文摘为了解决视频行人再识别领域仅使用卷积神经网络进行行人特征提取效果不佳的问题,提出一种基于卷积神经网络和Transformer的ResTNet(ResNet and Transformer network)网络模型。ResTNet利用ResNet50网络得到局部特征,令中间层输出作为Transformer的先验知识输入。在Transformer分支中不断缩小特征图尺寸,扩大感受野,充分挖掘局部特征之间的关系,生成行人的全局特征,同时利用移位窗口方法减少模型计算量。在大规模MARS数据集上,Rank-1和mAP分别达到86.8%和80.3%,比基准分别增加了3.8%和3.3%,在2个小规模数据集上也取得了良好效果。在几大数据集上的大量实验表明,本文方法能增强行人识别的鲁棒性,有效提高行人再识别的准确率。
文摘A novel algorithm of global motion estimation is proposed. First, through Gabor wavelet transform （GWT）, a kind of energy distribution of image is obtained and checkpoints are selected according to a probability decision approach proposed. Then, the initialized motion vectors are obtained via a hierarcbal block-matching based on these checkpoints. Finally, by employing a 3-parameter motion model, precise parameters of global motion are found. From the experiment, the algorithm is reliable and robust.
文摘The large finite element global stiffness matrix is an algebraic, discreet, even-order, differential operator of zero row sums. Direct application of the, practically convenient, readily applied, Gershgorin’s eigenvalue bounding theorem to this matrix inherently fails to foresee its positive definiteness, predictably, and routinely failing to produce a nontrivial lower bound on the least eigenvalue of this, theoretically assured to be positive definite, matrix. Considered here are practical methods for producing an optimal similarity transformation for the finite-elements global stiffness matrix, following which non trivial, realistic, lower bounds on the least eigenvalue can be located, then further improved. The technique is restricted here to the common case of a global stiffness matrix having only non-positive off-diagonal entries. For such a matrix application of the Gershgorin bounding method may be carried out by a mere matrix vector multiplication.
