The Min-Max Modular Network with Gaussian-Zero-Crossing Functions（M3-GZC） is a modular classifier which is capable for parallel computing and incremental learning.
高斯零交叉函数最小最大模块化网络（M3-GZC）正是一种具有模块化结构、并行计算能力和增量学习能力的分类器。
参考来源 - 增量学习及其在图像识别中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
传统的条码识别方法是通过二阶导数零交叉来定位条码边界。
Traditionally, the method of bar code recognition is based on zero crossing of the second derivative.
并利用其曲率函数的零交叉指纹图的交汇点建立相应的二元树。
Then it makes use of the crossing points of the zero-crossing fingerprint graph of the curvature to establish the corresponding binary tree.
拉普拉斯算子的方法是在图像的二阶导数搜索零交叉来查找边缘。
The Laplacian method searches for zero crossings in the second derivative of the image to find edges.
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