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  "author": "Sumedha Singla",
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  "author": "Sumedha Singla",
            
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  "doi": "10.57702/dn2vz0m7",
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  "doi": "10.57702/dn2vz0m7",
            
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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": "Mingming Gong",
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      "extra_author": "Mingming Gong",
            
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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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      "extra_author": "Siamak Ravanbakhsh",
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      "extra_author": "Siamak Ravanbakhsh",
            
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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": "Frank Sciurba",
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      "extra_author": "Frank Sciurba",
            
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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": "Barnabas Poczos",
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      "extra_author": "Barnabas Poczos",
            
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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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      "extra_author": "Kayhan N. Batmanghelich",
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      "extra_author": "Kayhan N. Batmanghelich",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "computer-vision",
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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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  "name": 
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  "name": 
            
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tive-discriminative-approach-from-a-set-of-image-patches-to-a-vector",
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tive-discriminative-approach-from-a-set-of-image-patches-to-a-vector",
            
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  "notes": "A deep learning model that learns subject-level 
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  "notes": "A deep learning model that learns subject-level 
            
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representation from a set of local features. The model represents the 
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representation from a set of local features. The model represents the 
            
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image volume as a bag (or set) of local features and can accommodate 
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image volume as a bag (or set) of local features and can accommodate 
            
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input images of variable sizes.",
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input images of variable sizes.",
            
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    {
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      "display_name": "image patches",
            
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      "name": "image patches",
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      "name": "image patches",
            
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      "state": "active",
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      "display_name": "local features",
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      "display_name": "local features",
            
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      "id": "05924ddd-b9b3-40e8-a5e4-6147707f6e67",
            
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      "name": "local features",
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      "name": "local features",
            
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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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      "display_name": "subject-level representation",
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      "display_name": "subject-level representation",
            
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      "id": "3336400d-78a2-4c5f-b9f9-084725e65125",
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      "id": "3336400d-78a2-4c5f-b9f9-084725e65125",
            
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      "name": "subject-level representation",
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      "name": "subject-level representation",
            
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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": "Subject2Vec: Generative-Discriminative Approach from a Set 
173
  "title": "Subject2Vec: Generative-Discriminative Approach from a Set 
            
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of Image Patches to a Vector",
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of Image Patches to a Vector",
            
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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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}