Thanks to Akshat Gupta and colleagues for the GlyphNet paper, whose empirical findings on greyscale rendering and glyph comparison informed confusable-vision’s methodology.
「你必須接受沒有任何私隱這件事，因為人就在你面前。人們從在家時的自由，變成由站長告訴他們規則與制度。少數人會為此感到困難。」
，更多细节参见雷电模拟器官方版本下载
We wanted a scenario where, say, 5 well-placed border points could efficiently represent an area with 5,000 internal points and 10,000 road edges. This would reduce those 10,000 edges to just 5*4/2 = 10 shortcuts for routing through that cluster at a high level – an incredible 1:1000 point ratio and a 30x reduction in edges to consider for the high-level path!
The “PCM Boundary”: a Wannabe-DRM Graveyard
算法为数字纪检监察体系提供“智慧核心”。有了海量数据，还需要科学算法挖掘其内在价值。有了科学算法，数字纪检监察体系就有了从纷繁复杂的数据里寻线索、找规律、揪异常的“火眼金睛”。比如，通过整合干部的岗位信息、履职轨迹、廉政记录，可以搭建起廉洁风险评估模型，及时发现苗头性、倾向性问题；通过关联分析项目审批、招标文件、资金流向等数据，能让新型腐败、隐性腐败无处遁形。