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Volumn 2, Issue , 2004, Pages

Learning a restricted Bayesian network for object detection

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; FACE RECOGNITION; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS;

EID: 5044231638     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (74)

References (18)
  • 6
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • 2001
    • Viola P. and Jones M. Rapid Object Detection Using a Boosted Cascade of Simple Features. CVPR, 2001. (2001)
    • (2001) CVPR
    • Viola, P.1    Jones, M.2
  • 8
    • 5044229305 scopus 로고    scopus 로고
    • Learning statistical structure for object detection
    • 2003, Springer-Verlag, August
    • Schneiderman, H. "Learning Statistical Structure for Object Detection." Computer Analysis of Images and Patterns (CAIP), 2003, Springer-Verlag, August, 2003.
    • (2003) Computer Analysis of Images and Patterns (CAIP)
    • Schneiderman, H.1
  • 9
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G. F., Herskovits, E. (1992). "A Bayesian Method for the Induction of Probabilistic Networks from Data." Machine Learning, 9:309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 10
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D., Geiger, D., Chickering, D. H. (1995) "Learning Bayesian Networks: The Combination of Knowledge and Statistical Data." Machine Learning 20(3): 197-243
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.H.3
  • 11
    • 0000498409 scopus 로고    scopus 로고
    • Being Bayesian about network structure: A Bayesian approach to structure discovery in Bayesian networks
    • Friedman, N. and Koller, D. (2002) "Being Bayesian about Network Structure: A Bayesian Approach to Structure Discovery in Bayesian Networks." Machine Learning Journal.
    • (2002) Machine Learning Journal
    • Friedman, N.1    Koller, D.2
  • 13
    • 5044225051 scopus 로고    scopus 로고
    • Feature-centric evaluation for efficient cascaded object detection
    • Schneiderman, H. "Feature-Centric Evaluation for Efficient Cascaded Object Detection." CVPR, 2004.
    • (2004) CVPR
    • Schneiderman, H.1
  • 16
    • 0033682228 scopus 로고    scopus 로고
    • A statistical method for 3D object detection applied to faces and cars
    • Schneiderman, H., Kanade, T. "A Statistical Method for 3D Object Detection Applied to Faces and Cars". CVPR, 2000
    • (2000) CVPR
    • Schneiderman, H.1    Kanade, T.2
  • 17
    • 84860603224 scopus 로고    scopus 로고
    • Using the forest to see the trees: A graphical model relating features, objects, and scenes
    • Murphy, K., Torralba, A. and Freeman, W. T. "Using the forest to see the trees: a graphical model relating features, objects, and scenes." NIPS-16, 2004
    • (2004) NIPS-16
    • Murphy, K.1    Torralba, A.2    Freeman, W.T.3
  • 18
    • 5044237568 scopus 로고    scopus 로고
    • Nonparametric belief propagation and facial appearance estimation
    • Sudderth, E. B., Ihler, A. T., Freeman, W. T. and Willsky, A. S. "Nonparametric Belief Propagation and Facial Appearance Estimation." CVPR, 2003
    • (2003) CVPR
    • Sudderth, E.B.1    Ihler, A.T.2    Freeman, W.T.3    Willsky, A.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.