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Refining pre-image via error compensation for KPCA-based pattern de-noising
Jianwu Li
, Qiang Tu, Ziye Yan
计算机学院
Beijing Institute of Technology
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探究 'Refining pre-image via error compensation for KPCA-based pattern de-noising' 的科研主题。它们共同构成独一无二的指纹。
分类
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Engineering
Error Compensation
100%
Principal Components
100%
Component Analysis
100%
Demonstrates
50%
Simulated Data
50%
Classical Method
50%
Systematic Error
50%
Computer Science
de-noising
100%
Component Analysis
100%
Principal Components
100%
Simulated Data
50%
Gradient Method
50%
Systematic Error
50%
Mathematics
Principal Component Analysis
100%
Pre-Image
100%
Refines
20%
Classical Method
20%
Simulated Data
20%
Real-World Data
20%
Systematic Error
20%
Economics, Econometrics and Finance
Principal Component Analysis
100%