The one-dimensional cubic spline function was generalized to multi-dimensional problem.
本文将一维三次样条函数推广到多维问题。
We try to resolve the dynamic fuzzy multi-dimensional problem on the handwritten digit recognition.
其次,利用动态模糊理论解决手写数字字符识别中的多维特征和动态模糊性问题。
Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.
图像配准问题归结为对齐度的最大化,这成为一个典型的多维全局参数优化问题。
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