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Volumn 2486 LNCS, Issue , 2002, Pages 99-106

MLP neural network implementation on a SIMD architecture

Author keywords

Automatic road sign recognition system; SIMD pixel processor

Indexed keywords

NETWORK LAYERS; PATTERN RECOGNITION; PIXELS; ROADS AND STREETS; TRAFFIC SIGNS; IMAGE PROCESSING; TRANSPORTATION;

EID: 23044533512     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45808-5_10     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 2
    • 84890460796 scopus 로고    scopus 로고
    • Road signs recognition using a dynamic pixel aggregation technique in the HSV color space
    • Palermo - Italy, IEEE Computer Society Press. 100, 101
    • S. Vitabile, G. Pilato, G. Pollaccia, F. Sorbello. Road Signs Recognition Using a Dynamic Pixel Aggregation Technique in the HSV Color Space. In Proc. of 11° International Conference on Image Analysis and Processing, Palermo - Italy, pp. 572-577, (2001), IEEE Computer Society Press. 100, 101
    • (2001) Proc. of 11° International Conference on Image Analysis and Processing , pp. 572-577
    • Vitabile, S.1    Pilato, G.2    Pollaccia, G.3    Sorbello, F.4
  • 4
    • 84893895215 scopus 로고    scopus 로고
    • Real-time image processing on a focal plane simd array, in parallel and distributed processing
    • Eds. J. Rolim et al. - Springer Verlag. 100
    • A. Gentile, J. Cruz-Rivera, D. Wills et al. Real-time image processing on a focal plane simd array, in parallel and distributed processing. Lecture Notes in Computer Science, (1586):400-405, 1999. Eds. J. Rolim et al. - Springer Verlag. 100
    • (1999) Lecture Notes in Computer Science , Issue.1586 , pp. 400-405
    • Gentile, A.1    Cruz-Rivera, J.2    Wills, D.3
  • 7
  • 9
    • 0027802657 scopus 로고
    • On hierarchical color segmentation and applications
    • L. Priese and V. Rehrmann. On hierarchical color segmentation and applications. In Proc. CVPR, pages 633-634, 1993.
    • (1993) Proc. CVPR , pp. 633-634
    • Priese, L.1    Rehrmann, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.