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Volumn 5197 LNCS, Issue , 2008, Pages 551-559

Ensemble approaches to facial action unit classification

Author keywords

ECOC; Ensembles; FACS; Feature ranking

Indexed keywords

CLASSIFIERS; FEATURE EXTRACTION; IMAGE ANALYSIS; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; PROGRAMMING THEORY;

EID: 55349089632     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85920-8_67     Document Type: Conference Paper
Times cited : (2)

References (21)
  • 1
    • 0035250305 scopus 로고    scopus 로고
    • Recognising action units for facial expression analysis
    • Tian, Y., Kanade, T., Cohn, J.F.: Recognising action units for facial expression analysis. IEEE Trans. PAMI 23(2), 97-115 (2001)
    • (2001) IEEE Trans. PAMI , vol.23 , Issue.2 , pp. 97-115
    • Tian, Y.1    Kanade, T.2    Cohn, J.F.3
  • 4
    • 37249017979 scopus 로고    scopus 로고
    • Windeatt, T., Prior, M.: Stopping Criteria for Ensemble-based Feature Selection. In: Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. LNCS, 4472, pp. 271-281. Springer, Heidelberg (2007)
    • Windeatt, T., Prior, M.: Stopping Criteria for Ensemble-based Feature Selection. In: Haindl, M., Kittler, J., Roli, F. (eds.) MCS 2007. LNCS, vol. 4472, pp. 271-281. Springer, Heidelberg (2007)
  • 5
    • 33750127404 scopus 로고    scopus 로고
    • Accuracy/Diversity and Ensemble Classifier Design
    • Windeatt, T.: Accuracy/Diversity and Ensemble Classifier Design. IEEE Trans. Neural Networks 17(5), 287-297 (2006)
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.5 , pp. 287-297
    • Windeatt, T.1
  • 6
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • Dietterich, T.G., Bakiri, G.: Solving multiclass learning problems via error-correcting output codes. J. Artificial Intelligence Research 2, 263-286 (1995)
    • (1995) J. Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 7
    • 0037368938 scopus 로고    scopus 로고
    • Coding and Decoding Strategies for multiclass learning problems
    • Windeatt, T., Ghaderi, R.: Coding and Decoding Strategies for multiclass learning problems. Information Fusion 4(1), 11-21 (2003)
    • (2003) Information Fusion , vol.4 , Issue.1 , pp. 11-21
    • Windeatt, T.1    Ghaderi, R.2
  • 8
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalisation of on-line learning and an application to boosting
    • Freund, Y., Schapire, R.E.: A decision-theoretic generalisation of on-line learning and an application to boosting. J. of Computer and System Science 55(1), 119-139 (1997)
    • (1997) J. of Computer and System Science , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 9
    • 26444507921 scopus 로고    scopus 로고
    • Skuruchina, M., Duin, R.P.W.: Combining feature subsets in feature selection. In: Oza, N.C., Polikar, R., Kittler, J., Roli, F. (eds.) MCS 2005. LNCS, 3541, pp. 165-175. Springer, Heidelberg (2005)
    • Skuruchina, M., Duin, R.P.W.: Combining feature subsets in feature selection. In: Oza, N.C., Polikar, R., Kittler, J., Roli, F. (eds.) MCS 2005. LNCS, vol. 3541, pp. 165-175. Springer, Heidelberg (2005)
  • 10
    • 84944215019 scopus 로고    scopus 로고
    • Oza, N., Tumer, K.: Input Decimation ensembles: decorrelation through dimensionality reduction. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, 2096, pp. 238-247. Springer, Heidelberg (2001)
    • Oza, N., Tumer, K.: Input Decimation ensembles: decorrelation through dimensionality reduction. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol.2096, pp. 238-247. Springer, Heidelberg (2001)
  • 11
    • 0242515926 scopus 로고    scopus 로고
    • Attribute bagging: Improving accuracy of classifier ensembles by using random feature subsets
    • Bryll, R., Gutierrez-Osuna, R., Quek, F.: Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets. Pattern Recognition 36, 1291-1302 (2003)
    • (2003) Pattern Recognition , vol.36 , pp. 1291-1302
    • Bryll, R.1    Gutierrez-Osuna, R.2    Quek, F.3
  • 13
    • 17644384109 scopus 로고    scopus 로고
    • The effect of noisy bootstrapping on the robustness of supervised classification of gene expression data
    • Brazil, pp
    • Efron, N., Intrator, N.: The effect of noisy bootstrapping on the robustness of supervised classification of gene expression data. In: IEEE Int. Workshop on Machine Learning for Signal Processing, Brazil, pp. 411-420 (2004)
    • (2004) IEEE Int. Workshop on Machine Learning for Signal Processing , pp. 411-420
    • Efron, N.1    Intrator, N.2
  • 14
    • 55349136915 scopus 로고    scopus 로고
    • Windeatt, T., Prior, M., Effron, N., Intrator, N.: Ensemble-based Feature Selection Criteria. In: Perner, P. (ed.) MLDM 2007. LNCS (LNAI), 4571, pp. 168-182. Springer, Heidelberg (2007)
    • Windeatt, T., Prior, M., Effron, N., Intrator, N.: Ensemble-based Feature Selection Criteria. In: Perner, P. (ed.) MLDM 2007. LNCS (LNAI), vol.4571, pp. 168-182. Springer, Heidelberg (2007)
  • 15
    • 15744404857 scopus 로고    scopus 로고
    • J. Machine learning methods for fully automatic recognition of facial expressions and facial actions
    • Man and Cybernetics
    • Bartlett, M.S., Littlewort, G., Lainscsek, C., Fasel, I.: J. Machine learning methods for fully automatic recognition of facial expressions and facial actions. In: IEEE Conf. System, Man and Cybernetics, vol. 1, pp. 592-597 (2004)
    • (2004) IEEE Conf. System , vol.1 , pp. 592-597
    • Bartlett, M.S.1    Littlewort, G.2    Lainscsek, C.3    Fasel, I.4
  • 18
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Machine Learning 46(1-3), 389-422 (2002)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 19
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • Yu, L., Liu, H.: Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research 5, 1205-1224 (2004)
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.