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ICPR18(1024-1029)
IEEE DOI
1812
Convolution, Feature extraction, Convolutional neural networks,
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Computational modeling, Data models,
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Shape, Convolution, Feature extraction,
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You, Y.,
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Training, Time complexity, Convolution, Memory management,
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Convolution, Kernel, Solid modeling,
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CVPR20(5890-5899)
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Face, Shape, Image reconstruction,
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CVPR20(7072-7081)
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Knowledge engineering, Task analysis,
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Adaptive Graph Convolutional Network With Attention Graph Clustering
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Feature extraction, Task analysis, Adaptive systems, Decoding,
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data visualisation, decoding, encoding, graph theory,
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computational geometry, convolutional neural nets,
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ICIP19(4554-4558)
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Set graph learning, Graph convolutional network, l1,2-Norm,
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Unsupervised Feature Learning for Point Cloud Understanding by
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3DV19(395-404)
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Task analysis, Feature extraction,
Training, Unsupervised learning, Semantics,
Graph convolutional neural network
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Litany, O.,
Bronstein, A.,
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Deformable Shape Completion with Graph Convolutional Autoencoders,
CVPR18(1886-1895)
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Shape, Task analysis, Training, Strain, Neural networks
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Verma, N.[Nitika],
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FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis,
CVPR18(2598-2606)
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Shape, Convolution, Standards, Visualization, Neural networks
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Convolutional Neural Networks, Design, Implementation Issues .