Titlebook: Neural Information Processing; 26th International C Tom Gedeon,Kok Wai Wong,Minho Lee Conference proceedings 2019 Springer Nature Switzerla

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SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attentionechanism recombines an encoding of the image depending on the state of the decoder, to generate the caption sequence. The decoder is predominantly recurrent in nature. In contrast, we propose a novel network possessing attention-like properties that are pervasive through its layers, by utilizing a c

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One Analog Neuron Cannot Recognize Deterministic Context-Free Languagesierarchy. This model restricted to integer weights coincides with binary-state NNs with the Heaviside activation function, which are equivalent to finite automata (Chomsky level 3), while rational weights make this model Turing complete even for three analog-state units (Chomsky level 0). For an int

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Tag-Based Semantic Features for Scene Image Classificational semantic information. Regarding some types of images such as scenes and objects, the annotations and descriptions of them available on the web may provide reliable contextual semantic information for feature extraction. In this paper, we introduce novel semantic features of an image based on the

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