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Volumn 6313 LNCS, Issue PART 3, 2010, Pages 649-662

Structured output ordinal regression for dynamic facial emotion intensity prediction

Author keywords

Ordinal Regression; Ranking; Structured Output Prediction; Video based Facial Emotion Intensity Analysis

Indexed keywords

COMPUTER VISION; RANDOM PROCESSES; REGRESSION ANALYSIS;

EID: 78149312745     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15558-1_47     Document Type: Conference Paper
Times cited : (43)

References (22)
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    • Multiple-instance ranking: Learning to rank images for image retrieval
    • Hu, Y., Li, M., Yu, N.: Multiple-instance ranking: Learning to rank images for image retrieval. In: Computer Vision and Pattern Recognition (2008)
    • (2008) Computer Vision and Pattern Recognition
    • Hu, Y.1    Li, M.2    Yu, N.3
  • 6
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Crammer, K., Singer, Y.: On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research 2, 265-292 (2001)
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 14
    • 72449180819 scopus 로고    scopus 로고
    • Generalized isotonic conditional random fields
    • Mao, Y., Lebanon, G.: Generalized isotonic conditional random fields. Machine Learning 77, 225-248 (2009)
    • (2009) Machine Learning , vol.77 , pp. 225-248
    • Mao, Y.1    Lebanon, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.