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Volumn , Issue , 2012, Pages 130-135

Analyzing the subspaces obtained by dimensionality reduction for human action recognition from 3D data

Author keywords

Dimensionality reduction; Human action recognition; Isomap; Kernel PCA; Manifold learning; PCA; Spectral regression

Indexed keywords

DIMENSIONALITY REDUCTION; HUMAN-ACTION RECOGNITION; ISOMAP; KERNEL PCA; MANIFOLD LEARNING; PCA; SPECTRAL REGRESSION;

EID: 84868231726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2012.10     Document Type: Conference Paper
Times cited : (5)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.