Lifelong Learning of Action Representations with Deep Neural Self-Organization

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A self-organizing neural network architecture for learning human-object interactions (2017, positive): “ address the limitations of this handcrafted feature extraction with a neural architecture able to extract visual features from raw images, e.g., with the use of deep neural network self-organization [59]. Finally, the results reported in this paper motivate future work towards integration of our le”
Emotion Recognition from Body Expressions with a Neural Network Architecture (2017, methodology): “Therefore, we associate symbolic labels with neural weights during the learning process in G I as proposed in [20].”