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Feedback Recorrection Semantic-Based Image Inpainting Under Semi-Supervised Learning. [PDF]
Ye X, Tan R, Sui M, Chen H, Ying N.
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A lightweight tri-modal few-shot detection framework for fruit diversity recognition toward digital orchard archiving. [PDF]
Xu H, Li H, Zhao J.
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Render-Rank-Refine: Accurate 6D Indoor Localization via Circular Rendering. [PDF]
Monawwar H, Fan G.
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The neural response to highly iconic signs in hearing learners and deaf signers. [PDF]
Akers EM +3 more
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Drawings of THINGS: A large-scale drawing dataset of 1854 object concepts. [PDF]
Mukherjee K +5 more
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Digital image quality evaluation based on multi-scale aesthetic features and graph convolutional neural networks. [PDF]
Wu J, Li D.
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Biological Cybernetics, 1989
Self-organized formation of topographic maps for abstract data, such as words, is demonstrated in this work. The semantic relationships in the data are reflected by their relative distances in the map. Two different simulations, both based on a neural network model that implements the algorithm of the selforganizing feature maps, are given.
Ritter, Helge, Kohonen, Teuvo
openaire +2 more sources
Self-organized formation of topographic maps for abstract data, such as words, is demonstrated in this work. The semantic relationships in the data are reflected by their relative distances in the map. Two different simulations, both based on a neural network model that implements the algorithm of the selforganizing feature maps, are given.
Ritter, Helge, Kohonen, Teuvo
openaire +2 more sources

