Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion

The paper proposes a method of visual attention-based emotion classification through eye gaze analysis. Concretely, tensor-based emotional category classification via visual attention-based heterogeneous convolutional neural network (CNN) feature fusion is proposed. Based on the relationship between...

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Detalles Bibliográficos
Autores principales: Moroto, Yuya, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180805/
https://www.ncbi.nlm.nih.gov/pubmed/32290175
http://dx.doi.org/10.3390/s20072146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180805/
https://www.ncbi.nlm.nih.gov/pubmed/32290175
http://dx.doi.org/10.3390/s20072146

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