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Volumn 18, Issue 5-6, 2005, Pages 566-574

Interactive image data labeling using self-organizing maps in an augmented reality scenario

Author keywords

Augmented reality; Computer vision; Human machine interaction; Learning; Mobile computing; Neural networks; Object recognition; Self organizing maps

Indexed keywords

NEURAL NETWORKS; SELF ORGANIZING MAPS; VIRTUAL REALITY; VISUALIZATION;

EID: 27744546071     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.06.040     Document Type: Conference Paper
Times cited : (15)

References (25)
  • 2
    • 24644508392 scopus 로고    scopus 로고
    • Features for image retrieval: A quantitative comparison
    • Deselaers, T., Keysers, D., & Ney, H. (2004). Features for image retrieval: A quantitative comparison. In DAGMSymposium (pp. 228-236).
    • (2004) DAGMSymposium , pp. 228-236
    • Deselaers, T.1    Keysers, D.2    Ney, H.3
  • 8
    • 0018777412 scopus 로고
    • The internal representation of solid shape with respect to vision
    • J.J. Koenderink, and A.J. van Doorn The internal representation of solid shape with respect to vision Biological Cybernetics 32 1979 211 216
    • (1979) Biological Cybernetics , vol.32 , pp. 211-216
    • Koenderink, J.J.1    Van Doorn, A.J.2
  • 9
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohonen Self-organized formation of topologically correct feature maps Biological Cybernetics 43 1982 59 69
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 11
    • 0036650984 scopus 로고    scopus 로고
    • Picsom - Self-organizing image retrieval with mpeg-7 content descriptors
    • J. Laaksonen, M. Koskela, and E. Oja Picsom - self-organizing image retrieval with mpeg-7 content descriptors IEEE Transactions on Neural Networks 13 4 2002 841 853
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.4 , pp. 841-853
    • Laaksonen, J.1    Koskela, M.2    Oja, E.3
  • 13
    • 0028204732 scopus 로고
    • Topology representing networks
    • T. Martinetz, and K. Schulten Topology representing networks Neural Networks 7 3 1994 507 522
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 507-522
    • Martinetz, T.1    Schulten, K.2
  • 14
    • 0031570069 scopus 로고    scopus 로고
    • SEEMORE: Combining color, shape, and texture histogramming in a neurally-inspired approach to visual object recognition
    • B.W. Mel SEEMORE: Combining color, shape, and texture histogramming in a neurally-inspired approach to visual object recognition Neural Computation 9 1997 777 804
    • (1997) Neural Computation , vol.9 , pp. 777-804
    • Mel, B.W.1
  • 21
    • 0033365847 scopus 로고    scopus 로고
    • Self-organizing maps and learning vector quantization for feature sequences
    • P. Somervuo, and T. Kohonen Self-organizing maps and learning vector quantization for feature sequences Neural Processing Letters 10 2 1999 151 159
    • (1999) Neural Processing Letters , vol.10 , Issue.2 , pp. 151-159
    • Somervuo, P.1    Kohonen, T.2
  • 23
    • 0035341234 scopus 로고    scopus 로고
    • Neural correlates of attention in primate visual cortex
    • S. Treue Neural correlates of attention in primate visual cortex Trends in Neurosciences 24 5 2001 295 300
    • (2001) Trends in Neurosciences , vol.24 , Issue.5 , pp. 295-300
    • Treue, S.1
  • 24
    • 38049168357 scopus 로고    scopus 로고
    • Som-based data visualization methods
    • J. Vesanto Som-based data visualization methods Intelligent Data Analysis 3 2 1999 111 126
    • (1999) Intelligent Data Analysis , vol.3 , Issue.2 , pp. 111-126
    • Vesanto, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.