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Volumn 71, Issue 4-6, 2008, Pages 853-856

Dynamic visual selective attention model

Author keywords

Bottom up saliency map; Dynamic visual selective attention; Maximum entropy

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 38649124966     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.03.003     Document Type: Article
Times cited : (27)

References (9)
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  • 2
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    • Koike, T.1    Saiki, J.2
  • 3
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    • Saliency, scale and image description
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    • Kadir, T.1    Brady, M.2
  • 5
    • 29444456658 scopus 로고    scopus 로고
    • Biologically motivated vergence control system using human-like selective attention model
    • Choi S.B., Jung B.S., Ban S.W., Niitsuma H., and Lee M. Biologically motivated vergence control system using human-like selective attention model. Neurocomputing 69 4-6 (2006) 537-558
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    • Choi, S.B.1    Jung, B.S.2    Ban, S.W.3    Niitsuma, H.4    Lee, M.5
  • 6
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    • A model of active visual search with object-based attention guiding scan paths
    • Lanyon L.J., and Denham S.L. A model of active visual search with object-based attention guiding scan paths. Neural Networks 17 5-6 (2004) 873-897
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    • Lanyon, L.J.1    Denham, S.L.2
  • 7
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    • The independent components of natural scenes are edge filters
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    • (1997) Vision Res. , vol.37 , Issue.23 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 9
    • 38649096888 scopus 로고    scopus 로고
    • A. Ratnaparkhi, Maximum entropy models for natural language ambiguity resolution, Ph.D. thesis, Department of Computer and Information Science, University of Pennsylvania, 1998.
    • A. Ratnaparkhi, Maximum entropy models for natural language ambiguity resolution, Ph.D. thesis, Department of Computer and Information Science, University of Pennsylvania, 1998.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.