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Volumn , Issue , 2009, Pages 1928-1936

Structured output regression for detection with partial truncation

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT; COMPUTER VISION; EQUIVALENCE CLASSES; OBJECT DETECTION; STATISTICAL TESTS;

EID: 84857933762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (70)

References (13)
  • 1
    • 70350619001 scopus 로고    scopus 로고
    • Learning to localize objects with structured output regression
    • M. B. Blaschko and C. H. Lampert. Learning to localize objects with structured output regression. In Proc. ECCV, 2008.
    • (2008) Proc. ECCV
    • Blaschko, M.B.1    Lampert, C.H.2
  • 2
    • 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 Proc. CVPR, 2005.
    • (2005) Proc. CVPR
    • Dalal, N.1    Triggs, B.2
  • 8
    • 70450208291 scopus 로고    scopus 로고
    • Discriminative structure learning of hierarchical representations for object detection
    • P. Schnitzspan, M. Fritz, S. Roth, and B. Schiele. Discriminative structure learning of hierarchical representations for object detection. In Proc. CVPR, 2009.
    • (2009) Proc. CVPR
    • Schnitzspan, P.1    Fritz, M.2    Roth, S.3    Schiele, B.4
  • 9
    • 14344250451 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output spaces
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun. Support vector machine learning for interdependent and structured output spaces. In Proc. ICML, 2004.
    • (2004) Proc. ICML
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 11
    • 84898956170 scopus 로고    scopus 로고
    • The variational ising classifier (VIC) algorithm for coherently contaminated data
    • O. Williams, A. Blake, and R. Cipolla. The variational ising classifier (VIC) algorithm for coherently contaminated data. In Proc. NIPS, 2005.
    • (2005) Proc. NIPS
    • Williams, O.1    Blake, A.2    Cipolla, R.3
  • 12
    • 33845597355 scopus 로고    scopus 로고
    • The layout consistent random field for recognizing and segmenting partially occluded objects
    • J. Winn and J. Shotton. The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. In Proc. CVPR, 2006.
    • (2006) Proc. CVPR
    • Winn, J.1    Shotton, J.2
  • 13
    • 71149086466 scopus 로고    scopus 로고
    • Learning structural SVMs with latent variables
    • C.-N. J. Yu and T. Joachims. Learning structural SVMs with latent variables. In Proc. ICML, 2009.
    • (2009) Proc. ICML
    • Yu, C.-N.J.1    Joachims, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.