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Volumn , Issue , 2011, Pages 1194-1200

Novelty detection using growing neural gas for visuo-spatial memory

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE DETECTION; GROWING NEURAL GAS; MOBILE CAMERA; NOVELTY DETECTION; SECURITY CAMERAS; VISUAL INFORMATION; VISUAL SCENE;

EID: 84455175284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2011.6048401     Document Type: Conference Paper
Times cited : (10)

References (16)
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    • Detecting irregularities in images and in video
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    • Boiman, O.1    Irani, M.2
  • 8
    • 67349174184 scopus 로고    scopus 로고
    • Bayesian surprise attracts human attention
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    • L. Itti and P. Baldi, "Bayesian surprise attracts human attention," Vision Research, October 2008. [Online]. Available: http://dx.doi.org/10.1016/j.visres.2008.09.007
    • (2008) Vision Research
    • Itti, L.1    Baldi, P.2
  • 10
    • 56049113001 scopus 로고    scopus 로고
    • Mapping a suburb with a single camera using a biologically inspired slam system
    • Oct.
    • M. Milford and G. Wyeth, "Mapping a suburb with a single camera using a biologically inspired slam system," Robotics, IEEE Transactions on, vol. 24, no. 5, pp. 1038-1053, Oct. 2008.
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    • Milford, M.1    Wyeth, G.2
  • 13
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    • A "neural-gas" network learns topologies
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    • Martinetz, T.1    Schulten, K.2
  • 14
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    • Self-organized formation of topologically correct feature maps
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    • T. Kohonen, "Self-organized formation of topologically correct feature maps," Biological Cybernetics, vol. 43, no. 1, pp. 59-69, January 1982. [Online]. Available: http://dx.doi.org/10.1007/BF00337288
    • (1982) Biological Cybernetics , vol.43 , Issue.1 , pp. 59-69
    • Kohonen, T.1
  • 16
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    • An enhanced self-organizing incremental neural network for online unsupervised learning
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    • S. Furao, T. Ogura, and O. Hasegawa, "An enhanced self-organizing incremental neural network for online unsupervised learning," Neural Netw., vol. 20, pp. 893-903, October 2007. [Online]. Available: http://portal.acm.org/ citation.cfm?id=1294379.1294676
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.