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Volumn 4, Issue , 2006, Pages 104-107

Forest extension of error correcting output codes and boosted landmarks

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; DECISION TREES; IMAGE SEGMENTATION; OBJECT RECOGNITION;

EID: 34147103302     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.583     Document Type: Conference Paper
Times cited : (6)

References (11)
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  • 2
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    • Fast spatial pattern discovery integrating boosting with constellations of contextual descriptors
    • in press
    • J. Amores, N. Sebe, and P. Radeva. Fast spatial pattern discovery integrating boosting with constellations of contextual descriptors. In CVPR (in press), 2005.
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    • Amores, J.1    Sebe, N.2    Radeva, P.3
  • 3
    • 34147139816 scopus 로고    scopus 로고
    • Traffic sign detection on greyscale images
    • X. Baro and J. Vitria. Traffic sign detection on greyscale images. In CCIA, pages 209-216, 2004.
    • (2004) CCIA , pp. 209-216
    • Baro, X.1    Vitria, J.2
  • 4
    • 0000406788 scopus 로고    scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2:263-286, 2005.
    • (2005) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.1    Bakiri, G.2
  • 5
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
    • (2003) CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 6
    • 34147148981 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • T. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. The Annals of Statistics, 38(2):337-374, 1998.
    • (1998) The Annals of Statistics , vol.38 , Issue.2 , pp. 337-374
    • Friedman, T.1    Hastie, T.2    Tibshirani, R.3
  • 7
    • 24644462948 scopus 로고    scopus 로고
    • Using the forest to see the trees: A graphical model relating features, objects, and scenes
    • M. Press, editor
    • K. Murphy, A.Torralba, and W.T.Freeman. Using the forest to see the trees: A graphical model relating features, objects, and scenes. In M. Press, editor, Advances in NIPS, 2003.
    • (2003) Advances in NIPS
    • Murphy, K.1    Torralba, A.2    Freeman, W.T.3
  • 8
    • 33645963453 scopus 로고    scopus 로고
    • Discriminant ecoc: A heuristic method for application dependent design of error correcting output codes
    • O. Pujol, P. Radeva, and J. Vitri. Discriminant ecoc: A heuristic method for application dependent design of error correcting output codes. Transactions on PAMI, 28(6):1001-1007, 2006.
    • (2006) Transactions on PAMI , vol.28 , Issue.6 , pp. 1001-1007
    • Pujol, O.1    Radeva, P.2    Vitri, J.3
  • 9
    • 0036538619 scopus 로고    scopus 로고
    • Shape matching and object recognition using shape contexts
    • April
    • S.Belongie, J.Malik, and J.Puzicha. Shape matching and object recognition using shape contexts. Transactions in PAMI, pages 509-522, April 2002.
    • (2002) Transactions in PAMI , pp. 509-522
    • Belongie, S.1    Malik, J.2    Puzicha, J.3
  • 10
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    • Classification by pairwise grouping
    • T.Hastie and R. Tibshirani. Classification by pairwise grouping. The annals of statistics, 26(5):451-471, 1998.
    • (1998) The annals of statistics , vol.26 , Issue.5 , pp. 451-471
    • Hastie, T.1    Tibshirani, R.2
  • 11
    • 5044224293 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. In CVPR, volume 2, pages 762-769, 2004.
    • (2004) CVPR , vol.2 , pp. 762-769
    • Torralba, A.1    Murphy, K.2    Freeman, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.