A number of current face recognition algorithms use whole face representations found by statistical methods. Independent Component Analysis(ICA) is an example of such methods which is based on signal high-order statistic characteristics.
目前已存在很多基于统计的人脸整体识别方法,独立元分析方法就是一种基于信号高阶统计特性的方法。
参考来源 - 基于ICA和NFL分类的局部人脸识别方法 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
Reduction of noise in flaw signals based on independent component analysis;
为了应用漏磁检测技术检测管道缺陷，需要对缺陷信号进行分析。
The principle and applications of the Independent Component Analysis (ICA) are surveyed.
对ICA方法的原理和应用进行了综述。
Independent Component analysis is a new transform for multispectral or hyperspectral datasets.
是多光谱或超光谱数据集的一种新的转换方法。
应用推荐