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  "access_rights": "",
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  "author": "Pan Xiao",
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  "author": "Pan Xiao",
            
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  "author_email": "",
            
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  "citation": [],
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  "doi": "10.57702/mt5x44tf",
            
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Peijie Qiu",
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      "extra_author": "Peijie Qiu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sungmin Ha",
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      "extra_author": "Sungmin Ha",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Abdalla Bani",
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      "extra_author": "Abdalla Bani",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Shuang Zhou",
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      "extra_author": "Shuang Zhou",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Aristeidis Sotiras",
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      "extra_author": "Aristeidis Sotiras",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "image-reconstruction",
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      "name": "image-reconstruction",
            
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      "title": "Image Reconstruction"
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      "title": "Image Reconstruction"
            
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      "description": "",
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      "name": "unsupervised-image-segmentation",
            
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      "title": "Unsupervised Image Segmentation"
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      "title": "Unsupervised Image Segmentation"
            
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  "name": 
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  "name": 
            
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c-vae--sparse-coding-based-variational-autoencoder-with-learned-ista",
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c-vae--sparse-coding-based-variational-autoencoder-with-learned-ista",
            
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  "notes": "Learning rich data representations from unlabeled data is 
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  "notes": "Learning rich data representations from unlabeled data is 
            
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a key challenge towards applying deep learning algorithms in 
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a key challenge towards applying deep learning algorithms in 
            
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downstream tasks. The proposed method learns sparse data 
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downstream tasks. The proposed method learns sparse data 
            
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representations that consist of a linear combination of a small number 
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representations that consist of a linear combination of a small number 
            
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of predetermined orthogonal atoms.",
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of predetermined orthogonal atoms.",
            
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    {
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      "display_name": "Sparse Coding",
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      "display_name": "Sparse Coding",
            
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      "id": "85b172b9-7567-4282-935c-7f4378067f59",
            
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      "name": "Sparse Coding",
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      "name": "Sparse Coding",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Unsupervised Image Segmentation",
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      "display_name": "Unsupervised Image Segmentation",
            
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      "id": "4c774bf5-7552-416e-b367-84339f276fb1",
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      "id": "4c774bf5-7552-416e-b367-84339f276fb1",
            
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      "name": "Unsupervised Image Segmentation",
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      "name": "Unsupervised Image Segmentation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Variational Autoencoder",
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      "display_name": "Variational Autoencoder",
            
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      "id": "c3c81488-e3a1-4f02-bbb8-eb1fbcc2663a",
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      "id": "c3c81488-e3a1-4f02-bbb8-eb1fbcc2663a",
            
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      "name": "Variational Autoencoder",
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      "name": "Variational Autoencoder",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "SC-VAE: Sparse Coding-based Variational Autoencoder with 
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  "title": "SC-VAE: Sparse Coding-based Variational Autoencoder with 
            
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Learned ISTA",
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Learned ISTA",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}