Weakly supervised pain localization using multiple instance learning

Karan Sikka; Abhinav Dhall; Marian Stewart Bartlett

doi:10.1109/fg.2013.6553762

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Weakly supervised pain localization using multiple instance learning

Karan Sikka Abhinav Dhall Marian Stewart Bartlett

Year: 2013 Pages: 1-8

DOI: 10.1109/fg.2013.6553762

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Abstract

Automatic pain recognition from videos is a vital clinical application and, owing to its spontaneous nature, poses interesting challenges to automatic facial expression recognition (AFER) research. Previous pain vs no-pain systems have highlighted two maj

Keywords:

Computer science Artificial intelligence Machine learning Supervised learning Pattern recognition (psychology) Artificial neural network

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Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Weakly supervised pain localization using multiple instance learning

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