Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations
Fusing multiple continuous expert annotations is a crucial problem in machine learning and computer vision, particularly when dealing with uncertain and subjective tasks related to affective behavior. Inspired by the concept of inferring shared and individual latent spaces in Probabilistic Canonical...
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 36(2014), 7 vom: 01. Juli, Seite 1299-311 |
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Auteur principal: | |
Autres auteurs: | , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2014
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
Sujets: | Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. |
Accès en ligne |
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