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  "author": "Giacomo Parigi",
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      "extra_author": "Andrea Pedrini",
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      "extra_author": "Andrea Pedrini",
            
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    },
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    {
            
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      "extra_author": "Marco Piastra",
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      "extra_author": "Marco Piastra",
            
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      "name": "shape-reconstruction",
            
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      "title": "Shape Reconstruction"
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      "title": "Shape Reconstruction"
            
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  "name": "neural-gas-dataset",
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  "name": "neural-gas-dataset",
            
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  "notes": "The dataset used in the paper is a collection of 2D and 3D 
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  "notes": "The dataset used in the paper is a collection of 2D and 3D 
            
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point clouds, each representing a different shape (e.g. unit circle, 
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point clouds, each representing a different shape (e.g. unit circle, 
            
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unit disk, unit sphere, unit ball, Stanford bunny). The point clouds 
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unit disk, unit sphere, unit ball, Stanford bunny). The point clouds 
            
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are convolved with isotropic Gaussian noise and presented to the 
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are convolved with isotropic Gaussian noise and presented to the 
            
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Neural Gas algorithm.",
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Neural Gas algorithm.",
            
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  "title": "Neural Gas dataset",
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}
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}