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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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Bibliografische Detailangaben
Hauptverfasser: Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2020-04-01
Schriftenreihe:Sensors
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Online-Zugang:https://www.mdpi.com/1424-8220/20/7/2146
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