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西北工业大学 国内
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Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace
Sisi Wang,
Feiping Nie
,
Zheng Wang
,
Rong Wang
, Xuelong Li
光电与智能研究院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
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同行评审
5
引用 （Scopus）
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探究 'Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Anomaly Detection
20%
Computational Complexity
20%
Data Preprocessing
20%
Experimental Result
20%
Feature Extraction
100%
Feature Selection
100%
Learning System
20%
Machine Learning
20%
Norm Constraint
60%
Optimization Algorithm
20%
Regularization
20%
Regularization Parameter
20%
Sparsity
20%
Engineering
Anomaly Detection
20%
Closed Form Solution
20%
Computational Complexity
20%
Conductive
20%
Data Preprocessing
20%
Detection Task
20%
Experimental Result
20%
Feature Extraction
100%
Illustrates
20%
Learning System
20%
Regularization
20%
Regularization Parameter
20%
Sparsity
20%
State-of-the-Art Method
20%