메뉴 건너뛰기




Volumn , Issue , 2009, Pages 4287-4293

Scalable learning for object detection with GPU hardware

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX ALGORITHMS; COMPUTATIONAL POWER; GRAPHICS PROCESSING UNIT; INDOOR ENVIRONMENT; LARGE DATASETS; MULTIPLE OBJECTS; OBJECT DETECTION; OBJECT DETECTION SYSTEMS; OFF-THE-SHELF HARDWARES; SOFTWARE VERSIONS; UPWARD TREND;

EID: 76249103260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354084     Document Type: Conference Paper
Times cited : (41)

References (21)
  • 2
    • 0000793139 scopus 로고
    • Cramming more components onto integrated circuits
    • April
    • G. E. Moore, "Cramming more components onto integrated circuits," Electronics, vol. 38, no. 8, April 1965.
    • (1965) Electronics , vol.38 , Issue.8
    • Moore, G.E.1
  • 3
    • 84976764763 scopus 로고
    • A characterization of ten hidden-surface algorithms
    • March
    • I. E. Sutherland, R. F. Sproull, and R. A. Schumacker, "A characterization of ten hidden-surface algorithms," Computing Surveys, vol. 6, no. 1, March 1974.
    • (1974) Computing Surveys , vol.6 , Issue.1
    • Sutherland, I.E.1    Sproull, R.F.2    Schumacker, R.A.3
  • 4
    • 51949119257 scopus 로고    scopus 로고
    • Small codes and large image databases for recognition
    • June
    • A. Torralba, R. Fergus, and Y. Weiss, "Small codes and large image databases for recognition," in CVPR 2008, June 2008.
    • (2008) CVPR 2008
    • Torralba, A.1    Fergus, R.2    Weiss, Y.3
  • 5
    • 77951762050 scopus 로고    scopus 로고
    • 80 million tiny images: A large dataset for non-parametric object and scene recognition
    • A. Torralba, R. Fergus, and W. Freeman, "80 million tiny images: a large dataset for non-parametric object and scene recognition," in PAMI, 2007.
    • (2007) PAMI
    • Torralba, A.1    Fergus, R.2    Freeman, W.3
  • 6
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • D. Nister and H. Stewenius, "Scalable recognition with a vocabulary tree," in CVPR, 2006, pp. 2161-2168.
    • (2006) CVPR , pp. 2161-2168
    • Nister, D.1    Stewenius, H.2
  • 8
    • 0037562189 scopus 로고    scopus 로고
    • Robust real-time object detection
    • P. Viola and M. Jones, "Robust real-time object detection," IJCV, 2001.
    • (2001) IJCV
    • Viola, P.1    Jones, M.2
  • 9
    • 34047200109 scopus 로고    scopus 로고
    • Sharing visual features for multiclass and multiview object detection
    • A. Torralba, K. Murphy, and W. Freeman, "Sharing visual features for multiclass and multiview object detection," PAMI, 2007.
    • (2007) PAMI
    • Torralba, A.1    Murphy, K.2    Freeman, W.3
  • 13
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • Y. Lecun, F. J. Huang, and L. Bottou, "Learning methods for generic object recognition with invariance to pose and lighting," in CVPR, 2004.
    • (2004) CVPR
    • Lecun, Y.1    Huang, F.J.2    Bottou, L.3
  • 15
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 18
    • 0003660631 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Dept. of Statistics, Stanford University, Tech. Rep
    • J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: a statistical view of boosting," Dept. of Statistics, Stanford University, Tech. Rep., 1998.
    • (1998)
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 21
    • 35948991669 scopus 로고    scopus 로고
    • 2701 San Tomas Expressway, Santa Clara, CA 95050, Online, Available
    • nVidia CUDA Programming Guide, NVIDIA Corporation, 2701 San Tomas Expressway, Santa Clara, CA 95050. [Online]. Available: http://developer. download.nvidia.com/
    • nVidia CUDA Programming Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.