Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning

Manifold learning is a widely used technique for dimensionality reduction as it can reveal the intrinsic geometric structure of data. However, its performance decreases drastically when data samples are contaminated by heavy noise or occlusions, which leads to unsatisfying data processing performanc...

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Veröffentlicht in:	ACM transactions on intelligent systems and technology 2023-04, Vol.14 (3), p.1-24, Article 47
Hauptverfasser:	Cai, Mingjian, Shen, Xiangjun, Abhadiomhen, Stanley Ebhohimhen, Cai, Yingfeng, Tian, Sirui
Format:	Artikel
Sprache:	eng
Schlagworte:	Computing methodologies Dimensionality reduction and manifold learning
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