where 1N1N is (like the kernel matrix) a N×NN×N matrix with all values equal to 1N1N. [3] Now, we have to obtain the eigenvectors of the centered kernel matrix that correspond to the largest eigenvalues. Those
1. th additiarhorizontally flipping(水平翻转), random crops(随机切割) and color jittering(颜色抖动). Moreover, you could try combinations of multiple different processing, e.g., doing the rotation and random scaling at the same time. In addition, you can try toraise saturation and value (S...
you can random these neurons to small numbers which are very close to zero, and it is treated assymmetry breaking. The idea is that the neurons are all random and unique in the beginning, so they will compute distinct updates and integrate themselves as diverse parts of the...