This paper presents a fast Gaussian computation algorithm based on subspace clustering of embedded speech recognition system to reduce the computation complexity. This algorithm does not need re-training model parameters.
针对嵌入式语音识别系统，实现了基于子空间聚类的快速高斯计算，简化了HMM模型的计算复杂度，回避了声学模型重新训练的问题。
参考来源 - 基于子空间聚类的快速高斯计算·2,447,543篇论文数据，部分数据来源于NoteExpress
Kernel function is introduced to subspace clustering to improve the clustering performance.
在子空间聚类引入核函数以提高数据聚类性能。
The problem of pattern-based subspace clustering, a special type of subspace clustering that uses pattern similarity as a measure of similarity, is studied.
研究了基于样式相似性的子空间聚类问题，使用样式相似性作为相似性度量。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
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