How do I reduce this to a smaller-size problem in the same instant?
我怎么能把这个问题，缩小成更小规模的问题呢？
A novel algorithm for solving the small sample size problem in face recognition is proposed.
提出了一种在人脸识别中解决小样本问题的新算法。
The optimal order time and economic lot-size problem with the linearly time-varying fuzzy demand.
模糊线性时变需求下最优订购时间和最优经济批量的确定问题。
Experiments demonstrate that the proposed method can effectively solve the small sample size problem of LDA.
多个人脸数据库上的实验结果表明，本算法能够有效地解决线性判别分析中的小样本规模问题。
Through maximalizing the margin, we can obtain the optimal projection vector, and avoid the small sample size problem due to singularity of the within-class scatter.
通过极大化该边界获得最优投影向量，同时避免因类内离散度矩阵奇异导致的小样本问题。
Because the likelihood ratio test has very good properties, especially for large sample size problem, the P-value function with this method is approached the true function.
因为似然比检验有着非常好的性质，特别是对大样本量问题，该方法求解出来的p值函数与真实p值函数非常逼近。
Because the likelihood ratio test has very good properties, especially for large sample size problem, the P-value function with this method is approached the true function.
因为似然比检验有着非常好的性质，特别是对大样本量问题，该方法求解出来的p值函数与真实p值函数非常逼近。
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