1) small sample size problem
小样本数据集问题
2) small sample size problem
小样本问题
1.
Solution of small sample size problem in face recognition using Gabor wavelet transform;
利用Gabor小波变换解决人脸识别中的小样本问题
2.
Linear Discriminant Analysis(LDA)is the most popular supervised method for feature extraction,but it often suffers the small sample size problem due to the singularity of the within-class scatter which arises if the number of samples is smaller than the dimensionality of samples.
线性判别分析是监督特征提取方法的典型代表,获得广泛应用,但受到小样本问题的制约。
3.
Linear discriminant analysis often suffers from the small sample size problem when dealing with high dimensional samples.
小样本问题在利用线性鉴别分析处理高维样本时经常遇到,但是已有方法在如何构造完整的最优子空间,并在其中获得最有效的鉴别分析的过程中始终存在着共同的缺陷。
4) data bank
数据样本集
1.
The data bank is the most important factor of artificial intelligence development,so the demanding data bank must be all-round,effective collection.
数据样本集是人工智能发展需要的主要要素,所以要求提供的数据样本集,应该是全面的、有效的集合。
5) Small Sample Size problem(SSS)
小样本问题(SSS)
6) high dimensional and small sample size problem
高维小样本问题
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条