메뉴 건너뛰기




Volumn 6835 LNCS, Issue , 2011, Pages 132-141

Multiple instance boosting for face recognition in videos

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; CLASSIFICATION RESULTS; DATA SETS; GRADIENT BOOSTING; INFORMATION SOURCES; LOSS FUNCTIONS; MULTIPLE INSTANCES; MULTIPLE-INSTANCE LEARNING; POSTERIOR PROBABILITY; RECOGNITION PERFORMANCE; STANDARD MACHINES; VIDEO STREAMS;

EID: 80053045316     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23123-0_14     Document Type: Conference Paper
Times cited : (12)

References (21)
  • 4
    • 77956009019 scopus 로고    scopus 로고
    • Talking pictures: Temporal grouping and dialog-supervised person recognition
    • Cour, T., Sapp, B., Nagle, A., Taskar, B.: Talking pictures: Temporal grouping and dialog-supervised person recognition. In: Proc. CVPR (2010)
    • Proc. CVPR (2010)
    • Cour, T.1    Sapp, B.2    Nagle, A.3    Taskar, B.4
  • 5
    • 77956555219 scopus 로고    scopus 로고
    • A conditional random field for multiple-instance learning
    • Deselaers, T., Ferrari, V.: A conditional random field for multiple-instance learning. In: Proc. ICML (2010)
    • Proc. ICML (2010)
    • Deselaers, T.1    Ferrari, V.2
  • 6
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Dietterich, T.G., Lathrop, R.H., Lozano-Pérez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence 89(1-2), 31-71 (1997)
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Pérez, T.3
  • 7
    • 84898027861 scopus 로고    scopus 로고
    • Hello! My name is.. Buffy - Automatic naming of characters in TV video
    • Everingham, M., Sivic, J., Zisserman, A.: Hello! My name is.. Buffy - automatic naming of characters in TV video. In: Proc. BMVC (2006)
    • Proc. BMVC (2006)
    • Everingham, M.1    Sivic, J.2    Zisserman, A.3
  • 8
    • 62949172236 scopus 로고    scopus 로고
    • Taking the bite out of automatic naming of characters in TV video
    • Everingham, M., Sivic, J., Zisserman, A.: Taking the bite out of automatic naming of characters in TV video. Image and Vision Computing 27(5) (2009)
    • (2009) Image and Vision Computing , vol.27 , Issue.5
    • Everingham, M.1    Sivic, J.2    Zisserman, A.3
  • 11
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Friedman, J., Hastie, T., Tibshirani., R.: Additive logistic regression: a statistical view of boosting. The Annals of Statistics 28(2), 337-374 (2000)
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 15
    • 84898935332 scopus 로고    scopus 로고
    • A framework for multiple-instance learning
    • Maron, O., Lozano-Pérez, T.: A framework for multiple-instance learning. In: Advances NIPS (1998)
    • (1998) Advances NIPS
    • Maron, O.1    Lozano-Pérez, T.2
  • 16
    • 77956005954 scopus 로고    scopus 로고
    • On the design of loss functions for classification: Theory, robustness to outliers, and SavageBoost
    • Masnadi-Shirazi, H., Vasconcelos, N.: On the design of loss functions for classification: theory, robustness to outliers, and SavageBoost. In: Advances NIPS (2009)
    • (2009) Advances NIPS
    • Masnadi-Shirazi, H.1    Vasconcelos, N.2
  • 19
    • 45549083257 scopus 로고    scopus 로고
    • Multiple instance boosting for object detection
    • Viola, P., Platt, J., Zhang, C.: Multiple instance boosting for object detection. In: Advances NIPS (2006)
    • (2006) Advances NIPS
    • Viola, P.1    Platt, J.2    Zhang, C.3
  • 20
    • 56449086489 scopus 로고    scopus 로고
    • Adaptive p-posterior mixture-model kernels for multiple instance learning
    • Wang, H.Y., Yang, Q., Zha, H.: Adaptive p-posterior mixture-model kernels for multiple instance learning. In: Proc. ICML (2008)
    • Proc. ICML (2008)
    • Wang, H.Y.1    Yang, Q.2    Zha, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.