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Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction · Study

WorkStructured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction

Minyoung Kim2010

Work2010

Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction

Minyoung Kim · Vladimir Pavlović

53 citations·0/0 files stored·Lecture notes in computer science

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Emotion and Mood Recognition Face recognition and analysis Face and Expression Recognition

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References

2003Facial expression recognition from video sequences: temporal and static modeling 2009RankBoost with l1 regularization for facial expression recognition and intensity estimation

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2017DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain

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2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressionsreview · 1 shared reference 2014Automatic facial expression recognition using features of salient facial patchesarticle · 1 shared reference 2017Facial expression recognition via learning deep sparse autoencodersarticle · 1 shared reference 2011Emotion-Induced Engagement in Internet Video Advertisementsarticle · 1 shared reference 2009Short-term emotion assessment in a recall paradigmarticle · 1 shared reference 2013Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signalsarticle · 1 shared reference

Details

Year2010

Typeother

Published2010-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations53

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/978-3-642-15558-1_47

openalex_workW1491036874

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