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Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields · Study

WorkAutomatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields

Ognjen Oggi Rudovic2013

Work2013

Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields

Ognjen Oggi Rudovic · Vladimir Pavlović · Maja Pantić

57 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

1979Intraclass correlations: Uses in assessing rater reliability.2011Painful data: The UNBC-McMaster shoulder pain expression archive database 2012Continuous Pain Intensity Estimation from Facial Expressions 2012Automatic detection of pain intensity 2012Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation

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2017Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressionsother · 4 shared references 2014Automated Face Analysis for Affective Computingchapter · 4 shared references 2016Automatic Pain Assessment with Facial Activity Descriptorsarticle · 3 shared references 2020Enhanced deep learning algorithm development to detect pain intensity from facial expression imagesarticle · 3 shared references 2017FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challengeother · 3 shared references 2016Facial Expression Intensity Estimation Using Ordinal Informationother · 3 shared references

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Year2013

Typeother

Published2013-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations57

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/978-3-642-41939-3_23

openalex_workW1590099432

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