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Volumn 517, Issue , 2015, Pages 275-285

Multimodal data fusion for person-independent, continuous estimation of pain intensity

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; PHYSIOLOGY; VIDEO STREAMING;

EID: 84951865211     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-23983-5_26     Document Type: Conference Paper
Times cited : (63)

References (19)
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    • Biovisual fusion for person-independent recognition of pain intensity
    • In: Schwenker, F., Roli, F., Kittler, J. (eds.), Springer, Heidelberg
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    • In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Fowlkes, C., Wang, S., Choi, M.-H., Mantler, S., Schulze, J., Acevedo, D., Mueller, K., Papka, M. (eds.), Springer, Heidelberg
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.