跳到主要导航
跳到搜索
跳到主要内容
西北工业大学 国内
English
中文
国内
简介
研究单位
科研成果
按专业知识、名称或附属进行搜索
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean
Shuangyan Yi,
Feiping Nie
, Yongsheng Liang, Wei Liu, Zhenyu He, Qingmin Liao
光电与智能研究院
Tsinghua University
Peng Cheng Laboratory
Harbin Institute of Technology
Shenzhen Institute of Information Technology
科研成果
:
期刊稿件
›
文章
›
同行评审
10
引用 （Scopus）
综述
指纹
指纹
探究 'Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
High Dimensional Data
100%
Principal Component
100%
Component Analysis
100%
Data Matrix
66%
Eigenvalue
66%
Performance Loss
66%
Computation Cost
33%
Experimental Result
33%
Objective Function
33%
Reconstruction Error
33%
Regularization Term
33%
Processing Speed
33%
Engineering
Dimensional Data
100%
Principal Component
100%
Component Analysis
100%
Eigenvalue
66%
Performance Loss
66%
Experimental Result
33%
Objective Function
33%
Regularization
33%
Error Term
33%
Mathematics
Dimensional Data
100%
Principal Component Analysis
100%
Matrix (Mathematics)
66%
Objective Function
33%
Eigenvalue
33%
Regularization
33%
Small Eigenvalue
33%
Error Term
33%