메뉴 건너뛰기




Volumn , Issue , 2007, Pages

Matrix-Structural Learning (MSL) of cascaded classifier from enormous training set

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; FEATURE EXTRACTION; OBJECT RECOGNITION; PERSONAL COMPUTERS;

EID: 34948849783     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383156     Document Type: Conference Paper
Times cited : (22)

References (23)
  • 2
    • 33745855896 scopus 로고    scopus 로고
    • Towards Optimal Training of Cascaded Detectors. ECCV2006
    • S. C. Brubaker, M. D. Mullin, and J. M. Rehg. Towards Optimal Training of Cascaded Detectors. ECCV2006, LNCS 3951, pp. 325 ff.
    • LNCS , vol.3951
    • Brubaker, S.C.1    Mullin, M.D.2    Rehg, J.M.3
  • 3
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund, R. E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55(1) (1997) 119-139.
    • (1997) J. Comput. Syst. Sci , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 4
    • 33845597493 scopus 로고    scopus 로고
    • X. W. Hou, C. L. Liu, and T. N. Tan, Learning Boosted Asymmetric Classifiers for Object Detection.CVPR 2006.
    • X. W. Hou, C. L. Liu, and T. N. Tan, Learning Boosted Asymmetric Classifiers for Object Detection.CVPR 2006.
  • 8
    • 17744406666 scopus 로고    scopus 로고
    • An Extended Set of Haar-like Features for Rapid Object Detection
    • R. Lienhart, J. Maydt. An Extended Set of Haar-like Features for Rapid Object Detection IEEE ICIP 2002,Vol. 1, pp 900-903, 2002.
    • (2002) IEEE ICIP 2002 , vol.1 , pp. 900-903
    • Lienhart, R.1    Maydt, J.2
  • 12
    • 33846581659 scopus 로고    scopus 로고
    • An Experimental Study on Pedestrian Classification
    • S. Munder and D.M. Gavrila. An Experimental Study on Pedestrian Classification. IEEE Trans. on PAMI, 28(11):1863-1868, 2006.
    • (2006) IEEE Trans. on PAMI , vol.28 , Issue.11 , pp. 1863-1868
    • Munder, S.1    Gavrila, D.M.2
  • 13
    • 5044225051 scopus 로고    scopus 로고
    • Feature-centric evaluation for efficient cascaded object detection
    • H. Schneiderman, "Feature-centric evaluation for efficient cascaded object detection," CVPR2004, vol. 2, pp. 29-36.
    • (2004) CVPR , vol.2 , pp. 29-36
    • Schneiderman, H.1
  • 14
    • 1542315968 scopus 로고    scopus 로고
    • Object detection using the statistics of parts
    • H. Schneiderman, T. Kanade, Object detection using the statistics of parts. Int. J. Comput. Vision, 56(3):151-177, 2004.
    • (2004) Int. J. Comput. Vision , vol.56 , Issue.3 , pp. 151-177
    • Schneiderman, H.1    Kanade, T.2
  • 16
    • 5044225524 scopus 로고    scopus 로고
    • Automatic Cascade Training with Perturbation Bias
    • J. Sun, J. M. Rehg, A. F. Bobick. Automatic Cascade Training with Perturbation Bias. CVPR (2) 2004: 276-283.
    • (2004) CVPR , vol.2 , pp. 276-283
    • Sun, J.1    Rehg, J.M.2    Bobick, A.F.3
  • 17
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for view-based human face detection
    • K.K. Sung and T. Poggio. Example-based learning for view-based human face detection. IEEE Trans. on PAMI, 20(1):39-51,1998.
    • (1998) IEEE Trans. on PAMI , vol.20 , Issue.1 , pp. 39-51
    • Sung, K.K.1    Poggio, T.2
  • 18
    • 2442516613 scopus 로고    scopus 로고
    • Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
    • P. Viola, Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade NIPS 2001:1311-1318.
    • (2001) NIPS , pp. 1311-1318
    • Viola, P.1
  • 22
    • 0344551825 scopus 로고    scopus 로고
    • Boosting chain learning for object detection
    • R. Xiao, L. Zhu, and H.-J. Zhang, Boosting chain learning for object detection. In ICCV, pages 709-715, 2003.
    • (2003) ICCV , pp. 709-715
    • Xiao, R.1    Zhu, L.2    Zhang, H.-J.3
  • 23
    • 84878503828 scopus 로고    scopus 로고
    • How to Train a Classifier Based on the Huge Face Database? IEEE International Workshop on AMFG2005
    • J. Chen, R. Wang, S. Yan, S. Shan, X. Chen, and W. Gao. How to Train a Classifier Based on the Huge Face Database? IEEE International Workshop on AMFG2005, LNCS 3723, pp. 84-95.
    • LNCS , vol.3723 , pp. 84-95
    • Chen, J.1    Wang, R.2    Yan, S.3    Shan, S.4    Chen, X.5    Gao, W.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.