In this paper, a novel tensor subspace learning algorithm, tensor locality discriminant projection, is proposed.
本文提出了一种新的张量子空间的学习算法:张量局部判别投影。
In the paper, the discriminant function is derived from the Fisher principle to distinguish large pore paths in sandstone oil layers based on logging curves.
根据测井曲线,运用费歇准则导出了识别砂岩油层大孔道的判别函数,判别函数是测井曲线的线性组合。
To the corresponding research on kernel locality preserving projection (KLPP) and unsupervised discriminant projection (UDP), they are combined with each other.