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Volumn 3, Issue , 1997, Pages 1454-1458

Efficient indexing for object recognition using large networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION TIME; LARGE NETWORKS; OUTDOOR SCENES; PROCESSING TIME; RANGE IMAGES;

EID: 0030677964     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.614009     Document Type: Conference Paper
Times cited : (2)

References (7)
  • 4
    • 0023455228 scopus 로고
    • Parallel algorithms for image template matching on hypercube SIMD computers
    • November
    • Z. Fang, X. Li, and L. M. Ni. Parallel algorithms for image template matching on hypercube SIMD computers. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9(6):835-841, November 1987.
    • (1987) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.PAMI-9 , Issue.6 , pp. 835-841
    • Fang, Z.1    Li, X.2    Ni, L.M.3
  • 5
    • 0029306042 scopus 로고
    • Range surface characterization and segmentation using neural networks
    • may
    • S. Ghosal and R. Mehrotra. Range surface characterization and segmentation using neural networks. Pattern Recognition, 28(5):711-727, may 1995.
    • (1995) Pattern Recognition , vol.28 , Issue.5 , pp. 711-727
    • Ghosal, S.1    Mehrotra, R.2
  • 6
    • 0027694785 scopus 로고
    • Hybrid neural network classifiers for automatic target detection
    • November
    • A. Katz and P. Thrift. Hybrid neural network classifiers for automatic target detection. Expert Systems, 10(4):243, November 1993.
    • (1993) Expert Systems , vol.10 , Issue.4 , pp. 243
    • Katz, A.1    Thrift, P.2
  • 7
    • 0029592693 scopus 로고
    • Mul-tisensor atr and identification of friend or foe using mlans
    • L. Perlovsky, J. Chernick, and W. Schoendorf. Mul-tisensor atr and identification of friend or foe using mlans. Neural Networks, 8(7-8):1185-1200,1995.
    • (1995) Neural Networks , vol.8 , Issue.7-8 , pp. 1185-1200
    • Perlovsky, L.1    Chernick, J.2    Schoendorf, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.