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Volumn 3540, Issue , 2005, Pages 862-871

Object localization with boosting and weak supervision for generic object recognition

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; IMAGE ANALYSIS;

EID: 26444474588     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11499145_87     Document Type: Conference Paper
Times cited : (25)

References (16)
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    • Agarwal, S.1    Awan, A.2    Roth, D.3
  • 2
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    • Bayesian learning for weakly supervised object classification
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    • (2004) Technical Report
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  • 3
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    • Comaniciu, D.1    Meer, P.2
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • A decision theoretic generalisation of online learning
    • Y. Freund and R. Schapire. A decision theoretic generalisation of online learning. Computer and System Sciences, 55(1):119-139, 1997.
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    • Freund, Y.1    Schapire, R.2
  • 6
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    • Object recognition using segmentation for feature detection
    • M. Fussenegger, A. Opelt, A. Pinz, and P. Auer. Object recognition using segmentation for feature detection. In Proc. ICPR, 2004.
    • (2004) Proc. ICPR
    • Fussenegger, M.1    Opelt, A.2    Pinz, A.3    Auer, P.4
  • 7
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    • Affine / photometric invariants for planar intensity patterns
    • L. Van Gool, T. Moons, and D. Ungureanu. Affine / photometric invariants for planar intensity patterns. In Proc. ECCV, pages 642-651, 1996.
    • (1996) Proc. ECCV , pp. 642-651
    • Van Gool, L.1    Moons, T.2    Ungureanu, D.3
  • 11
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe. Object recognition from local scale-invariant features. In Proc. ICCV, pages 1150-1157, 1999.
    • (1999) Proc. ICCV , pp. 1150-1157
    • Lowe, D.G.1
  • 12
    • 0034854741 scopus 로고    scopus 로고
    • Indexing based on scale invariant interest points
    • K. Mikolajczyk and C. Schmid. Indexing based on scale invariant interest points. In Proc. ICCV, pages 525-531, 2001.
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    • Mikolajczyk, K.1    Schmid, C.2
  • 13
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    • Weak hypotheses and boosting for generic object detection and recognition
    • A. Opelt, M. Fussenegger, A. Pinz, and P. Auer. Weak hypotheses and boosting for generic object detection and recognition. In Proc. ECCV, pages 71-84, 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.