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  "access_rights": "",
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  "author": "Angshul Majumdar",
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  "author": "Angshul Majumdar",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2110.08774"
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    "https://doi.org/10.48550/arXiv.2110.08774"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.1803.00704",
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  "defined_in": "https://doi.org/10.48550/arXiv.1803.00704",
            
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  "doi": "10.57702/mc4pk4xm",
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  "doi": "10.57702/mc4pk4xm",
            
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  "doi_date_published": "2024-12-16",
            
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      "name": "hyperspectral-imaging",
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      "name": "hyperspectral-imaging",
            
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      "title": "Hyperspectral Imaging"
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      "title": "Hyperspectral Imaging"
            
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      "description": "",
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      "description": "",
            
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      "name": "image-processing",
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      "name": "image-processing",
            
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      "title": "Image Processing"
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      "title": "Image Processing"
            
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      "title": "Multidimensional Data"
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      "title": "Multidimensional Data"
            
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  "metadata_created": "2024-12-16T19:01:18.067132",
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  "metadata_modified": "2024-12-16T19:01:18.453322",
            
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  "name": "hyperspectral-image-dataset",
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  "name": "hyperspectral-image-dataset",
            
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  "notes": "The dataset used in this paper is a hyperspectral image 
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  "notes": "The dataset used in this paper is a hyperspectral image 
            
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dataset, which is a type of multi-dimensional data. The dataset is 
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dataset, which is a type of multi-dimensional data. The dataset is 
            
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used for tensor completion, a problem in scientific computing.",
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used for tensor completion, a problem in scientific computing.",
            
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}
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}