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Volumn 7584 LNCS, Issue PART 2, 2012, Pages 260-269

Kernel conditional ordinal random fields for temporal segmentation of facial action units

Author keywords

Action units; conditional random field; histogram intersection kernel; kernel locality preserving projections; ordinal regression

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

EID: 84867715757     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33868-7_26     Document Type: Conference Paper
Times cited : (20)

References (15)
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  • 3
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  • 5
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    • A dynamic texture based approach to recognition of facial actions and their temporal models
    • Koelstra, S., Pantic, M., Patras, I.: A dynamic texture based approach to recognition of facial actions and their temporal models. IEEE PAMI 32, 1940-1954 (2010)
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    • Koelstra, S.1    Pantic, M.2    Patras, I.3
  • 6
    • 27944468557 scopus 로고    scopus 로고
    • Detecting facial actions and their temporal segments in nearly frontal-view face image sequences
    • Pantic, M., Patras, I.: Detecting facial actions and their temporal segments in nearly frontal-view face image sequences. In: Proc. of IEEE Int'l Conf. Systems, Man and Cybernetics, pp. 3358-3363 (2005)
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  • 7
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    • Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences
    • Pantic, M., Patras, I.: Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences. IEEE Transactions on Systems, Man and Cybernetics - Part B 36(2), 433-449 (2006)
    • (2006) IEEE Transactions on Systems, Man and Cybernetics - Part B , vol.36 , Issue.2 , pp. 433-449
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  • 8
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    • Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction
    • Daniilidis, K. (ed.) ECCV 2010, Part III. Springer, Heidelberg
    • Kim, M., Pavlovic, V.: Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction. In: Daniilidis, K. (ed.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 649-662. Springer, Heidelberg (2010)
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  • 9
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    • Multi-output laplacian dynamic ordinal regression for facial expression recognition and intensity estimation
    • in press
    • Rudovic, O., Pavlovic, V., Pantic, M.: Multi-output laplacian dynamic ordinal regression for facial expression recognition and intensity estimation. In: CVPR (in press, 2012)
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  • 10
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  • 11
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    • Locality Preserving Projections
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  • 12
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  • 14
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    • July
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.