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Volumn , Issue , 2011, Pages 2487-2494

Biologically inspired model for crater detection

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICALLY INSPIRED; BIOLOGICALLY INSPIRED MODELS; DATA SETS; FEATURE CONSTRUCTION; HAAR FEATURES; HIGH DIMENSIONS; HUMAN CORTEX; IMPACT CRATERS; INTRINSIC DISCRIMINATIVE SUBSPACES; OBJECT DETECTION; PANCHROMATIC IMAGES; SIZE INVARIANCE; TEXTURE INFORMATION; VISUAL CORTEXES;

EID: 80054733301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033542     Document Type: Conference Paper
Times cited : (16)

References (17)
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  • 2
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    • Realistic modeling of simple and complex cell tuning in the HMAX model, and implications for invariant object recognition in cortex
    • Massachusetts Institute of Technology
    • T.Serre & M.Riesenhuber (2004) Realistic modeling of simple and complex cell tuning in the HMAX model, and implications for invariant object recognition in cortex. AI Memo 2004-017/CBCL Memo239,Massachusetts Institute of Technology.
    • (2004) AI Memo 2004-017/CBCL Memo239
    • Serre, T.1    Riesenhuber, M.2
  • 5
    • 72949123287 scopus 로고    scopus 로고
    • Biologically inspired feature manifold for scene classification
    • January
    • D. Song, &D. Tao (2009) Biologically inspired feature manifold for scene classification. IEEE Transactions on Image Processing Volume 19 Issue 1, January 2010.
    • (2009) IEEE Transactions on Image Processing , vol.19 , Issue.1
    • Song, D.1    Tao, D.2
  • 7
    • 0019152630 scopus 로고
    • Neocognitron: A self organizing neural network model for a mechanism for pattern recognition unaffected by shift in position
    • K. Fukushima (1980). Neocognitron: a self organizing neural network model for a mechanism for pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4), 193-202.
    • (1980) Biological Cybernetics , vol.36 , Issue.4 , pp. 193-202
    • Fukushima, K.1
  • 8
    • 38249029008 scopus 로고
    • Crater size-frequency distributions and a revised Martian relative chronology
    • Barlow, N. G. 1988. Crater size-frequency distributions and a revised Martian relative chronology. Icarus 75, 285-305.
    • (1988) Icarus , vol.75 , pp. 285-305
    • Barlow, N.G.1
  • 10
    • 75749152693 scopus 로고    scopus 로고
    • Detailed look at scale and translation invariance in a hierarchical neural model of visual object recognition
    • Massachusetts Institute of Technology
    • R. Schneider,M. Riesenhuber, Detailed look at scale and translation invariance in a hierarchical neural model of visual object recognition. AI Memo 2002-011/CBCL Memo218, Massachusetts Institute of Technology, 2002.
    • (2002) AI Memo 2002-011/CBCL Memo218
    • Schneider, R.1    Riesenhuber, M.2
  • 11
    • 75749133541 scopus 로고    scopus 로고
    • Biologically inspired feature manifold for gait recognition
    • Y. Mu & D. Tao: Biologically inspired feature manifold for gait recognition. Neurocomputing 73(4-6): 895-902 (2010)
    • (2010) Neurocomputing , vol.73 , Issue.4-6 , pp. 895-902
    • Mu, Y.1    Tao, D.2
  • 12
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognitionin cortex
    • Riesenhuber M, Poggio T. Hierarchical models of object recognitionin cortex. Nature. 1999;2(11):1019-25.
    • (1999) Nature , vol.2 , Issue.11 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 14
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    • Biologically inspired tensor features
    • Y. Mu, D. Tao, X. Li& F. Murtagh: Biologically Inspired Tensor Features. Cognitive Computation 1(4): 327-341 (2009)
    • (2009) Cognitive Computation , vol.1 , Issue.4 , pp. 327-341
    • Mu, Y.1    Tao, D.2    Li, X.3    Murtagh, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.