hutch

Exp(phi + delta phi) approx Exp(J(phi) delta phi) + Exp( phi ) 能否做个简单证明(从bch公式似乎导不出这一点)

it is very neccessary for which seems no interface from numpy array to point cloud is supported.

`def plot_onto(ptrX, ptrY, onto): try: # 1. visualizer visualizer = pcl.visualization.PCLVisualizer() # 2. show the source and the destination cloud visualizer.addPointCloud(ptrX, pcl.visualization.PointCloudColorHandlerCustom.PointXYZ(ptrX, 0., 1., 0.)) # visualizer.addPointCloud(ptrY, pcl.visualization.PointCloudColorHandlerCustom.PointXYZ(1., 1., 1.))...

the Lasagne.layers.Conv2DCCLayer used the default nonlinearity(activation), which use non existed theano.tensor.nnet.relu ## The following code is in Line 142, Lasagne.nonlinearities.py # rectify def rectify(x): """Rectify activation function :math:`\\varphi(x) = \\max(0,...

引用不显示，粗体也是

7

不指导怎么将cite修改成AuthorYear方式->测试了18年的模板，存在的问题是将doi都放上去了，这个怎么去除？ textbf没效果（表格的top/mid/bottomrule也无效) 还有enumerate[a.] 也不支持

Exp(phi + delta phi) approx Exp(J(phi) delta phi) + Exp( phi ) 能否做个简单证明(从bch公式似乎导不出这一点)