1) Sparse Principal Component
稀疏主成分
1.
The Application of Sparse Principal Component Analysis in Comprehensive Assessment
稀疏主成分在综合评价中的应用
2) Spca-Ten
稀疏主成分分析
3) sparse component analysis(SCA)
稀疏成分分析(SCA)
4) Sparse Component Analysis
稀疏成分分析
5) sparse kernel principal component analysis
稀疏核主元分析
1.
On-line nonlinear process monitoring based on sparse kernel principal component analysis;
基于稀疏核主元分析的在线非线性过程监控
6) Sparse component analysis
稀疏成份分析
1.
Based on the measurement model of inverse synthetic aperture radar within a small aspect sector,two imaging methods,named as FFT-based united algorithm and two-dimensional decoupled algorithm,are presented with the application of sparse component analysis.
根据小角度条件下的逆合成孔径雷达观测模型,利用稀疏成份分析方法给出了基于FFT的二维联合超分辨算法和二维解耦超分辨成像算法。
2.
Based on the technique of sparse component analysis, a conditionally-linear parameterized model is constructed for signal representation and an algorithm named sequential linear programming is presented to solve it.
利用稀疏成份分析技术,建立了信号表示的条件线性参数模型,提出了模型求解的序列线性规划算法。
3.
On this basis, a generalized version of regularized FOCUSS algorithm applicable to sparse component analysis is derived, and its conver.
由此导出了可用于稀疏成份分析的广义正则化FOCUSS算法,并证明了该算法的收敛性。
补充资料：稀疏
1.亦作"稀疎"。 2.不稠密。 3.犹言冷落﹐疏远。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条