(3)针对模型匹配过程中的小样本问题(under-sample problem,USP),提出一种基于张量回归模型(tensor-based multivariate linear reg...
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提出了一种在人脸识别中解决小样本问题的新算法。
A novel algorithm for solving the small sample size problem in face recognition is proposed.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
本文在中、小样本试验数据下，研究响应模型的选择问题。
Binary response model choice is researched with the data of media or small sample size.
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