differentiable manifold of class c

differentiable manifold of class c的基本解释

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c类微分廖

与differentiable manifold of class c相关的网络例句 [注：此内容来源于网络，仅供参考]

The result indicates that the reconstruction based on differentiable basis function is better than that based on non-differentiable basis function and the reconstructions based on different differentiable basis function is approximately the same.

结果表明，对于少数投影计算机层析重建，采用连续可导的局部基函数展开比采用非连续可导的脉冲基函数展开具有更高的重建精度。

In this paper, the existence of isometric mapping between the manifold in the high-dimensional data space and the parameter space is proved. By distinguishing the intrinsic dimensionality of high-dimensional data space from the manifold dimensionality, and it is proved that the intrinsic dimensionality is the upper bound of the manifold dimensionality in the high-dimensional space in which there is a toroidal manifold.

首先给出了高维数据的连续流形和低维参数空间之间的等距映射存在性证明，然后区分了嵌入空间维数、高维数据空间的固有维数和流形维数，并证明存在环状流形高维数据空间的参数空间维数小于嵌入空间维数。

The linear manifold-learning algorithms represented by PCA, with their substantial mathematical foundation and simple implementation, but they are not able to show complex nonlinear manifold structure with their linear essence, which gives rise to nonlinear manifold-learning algorithms such as Isomap, SIE etc.

以PCA为代表的线性流形学习算法有较强的数学基础，实现简单，但是其线性本质并不能揭示复杂的非线性流形结构；于是又出现了以Isomap、SIE等为代表的非线性流形学习算法。

与differentiable manifold of class c相关的网络解释 [注：此内容来源于网络，仅供参考]

differentiable manifold of class c c：类微分廖

differentiable function 可微函数 | differentiable manifold of class c c类微分廖 | differential 微分