Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.
高斯过程隐变量模型是最近提出的比较流行的无监督降维方法。
The general theory of relativity studies super dimensional space caused by spatial curves using the method of dimensional reduction.
广义相对论运用降维方法研究空间弯曲导致的超维空间。
The critical function and critical rules based on the spectrum characteristic selection and the process of spatial dimensional reduction were established.
通过光谱特征选择及空间降维处理，建立了判别函数，确定了判别规则。
Using trajectory based stability-preserving, dimensional-reduction, a quantitative stability analysis method for rotor systems is presented.
本文利用轨线保稳降维方法提出了转子系统稳定性的量化分析方法。
Using trajectory based stability-preserving, dimensional-reduction, a quantitative stability analysis method for rotor systems is presented.
本文利用轨线保稳降维方法提出了转子系统稳定性的量化分析方法。
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