Face recognition is essentially a typical small-sample pattern recognition problem in sparse hyper-high dimensional space.
人脸识别实质是稀疏超高维空间、典型的小样本模式识别问题。
Results showed that Latin Hypercube sampling can capture more variability in the sample space than simple random sampling especially when the number of simulations is small.
结果表明，与普通随机采样相比，拉丁超几何体采样能捕获更多的不确定性，特别是在蒙特卡罗模拟次数较少时。
The full-automatic sampler has small volume and light weight and can be used in a narrow space and applied to sample powdery materials containing water.
它是一种体积小、重量轻、能够在狭小的空间使用、对含水分的粉料取样同样能够应用的全自动取样机。
应用推荐