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Volumn , Issue , 2009, Pages 403-407

Static hand sign recognition using linear projection methods

Author keywords

Hand signs; LPP; PCA; Shape matching

Indexed keywords

HAND SHAPE; HAND SIGNS; HIGH POTENTIAL; LINEAR PROJECTION METHOD; LPP; MACHINE-LEARNING; MALAYSIANS; PCA; RESEARCH TOPICS; SHAPE MATCHING; SIGN LANGUAGE; SIGN RECOGNITION;

EID: 66149170203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARA.2000.4803982     Document Type: Conference Paper
Times cited : (7)

References (17)
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  • 7
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    • Principal component analysis
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  • 10
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    • Twining, C.J.1    Taylor, C.J.2
  • 11
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    • "Nonlinear principal component analysis: Neural network models and applications "
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    • M. Scholz, M. Fraunholz, and J. Selbig, "Nonlinear Principal Component Analysis: Neural Network Models and Applications " in Principal Manifolds for Data Visualization and Dimension Reduction. vol.58, A. N. Gorban, B. Kegl, D. C. Wunsch, and A. Zinovyev, Eds.: Springer Berlin Heidelberg, 2007, pp. 44-67.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.