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Volumn 2012-January, Issue , 2012, Pages 2201-2206

Understanding communicative emotions from collective external observations

Author keywords

antipathy; bayesian network; distribution; empathy; facial expression; gaze; observer; perceived emotion

Indexed keywords

BEHAVIORAL RESEARCH; PROBABILITY DISTRIBUTIONS;

EID: 84881501948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2212776.2223776     Document Type: Conference Paper
Times cited : (10)

References (13)
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    • Cowie, R.1
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    • Parasocial consensus sampling: Combining multiple perspectives to learn virtual human behavior
    • L. Huang, L.-P. Morency, and J. Gratch. Parasocial consensus sampling: combining multiple perspectives to learn virtual human behavior. In Proc. AAMAS, volume 1, pages 1265–1272, 2010.
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    • Huang, L.1    Morency, L.-P.2    Gratch, J.3
  • 7
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    • Analyzing empathetic interactions based on the probabilistic modeling of the co-occurrence patterns of facial expressions in group meetings
    • S. Kumano, K. Otsuka, D. Mikami, and J. Yamato. Analyzing empathetic interactions based on the probabilistic modeling of the co-occurrence patterns of facial expressions in group meetings. In Proc. AFGR, pages 43–50, 2011.
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    • Multi-score learning for affect recognition: The case of body postures
    • H. Meng, A. Kleinsmith, and N. Bianchi-Berthouze. Multi-score learning for affect recognition: the case of body postures. In Proc. ACII, volume 1, pages 225–234, 2011.
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    • Meng, H.1    Kleinsmith, A.2    Bianchi-Berthouze, N.3
  • 9
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    • Output-associative RVM regression for dimensional and continuous emotion prediction
    • M. Nicolaou, H. Gunes, and M. Pantic. Output-associative RVM regression for dimensional and continuous emotion prediction. In Proc. AFGR, pages 16–23, 2011.
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    • Of all things the measure is man” automatic classification of emotions and inter-labeler consistency
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    • A survey of affect recognition methods: Audio, visual, and spontaneous expressions
    • Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Trans. PAMI, 31(1):39–58, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.