{
  "id": 161796,
  "title": "Important Research Papers worth Mentioning",
  "url": "/competitions/digit-recognizer/discussion/161796",
  "author_name": "Ishan Dutta",
  "post_date": "2020-06-26T07:26:04.441000",
  "votes": 7,
  "comment_count": 4,
  "views": null,
  "content": "<ol>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0262885604000721\">Improved method of handwritten digit recognition tested on MNIST database</a></li>\n<li><a href=\"https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MNIST-SPM2012.pdf\">The MNIST Database of Handwritten Digit Images for Machine Learning Research </a></li>\n<li><a href=\"https://arxiv.org/pdf/1003.0358.pdf\">Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition</a></li>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0031320311004006\">A novel hybrid CNN–SVM classifier for recognizing handwritten digits</a></li>\n<li><a href=\"http://people.idsia.ch/~juergen/NNtricks.pdf\">Deep Big Multilayer Perceptrons For Digit Recognition</a></li>\n<li><a href=\"http://www.iapr-tc11.org/archive/icdar2011/fileup/PDF/4520b250.pdf\">Better digit recognition with a committee of simple Neural Nets</a></li>\n<li><a href=\"https://hal.archives-ouvertes.fr/hal-02131170/document\">Echo State Networks-based Reservoir Computing for MNIST Handwritten Digits Recognition</a></li>\n<li><a href=\"https://www.researchgate.net/profile/Badre_Eddine_El_Kessab2/publication/324845327_Extraction_Method_of_Handwritten_Digit_Recognition_Tested_on_the_MNIST_Database/links/5ae7914ea6fdcc03cd8db36d/Extraction-Method-of-Handwritten-Digit-Recognition-Tested-on-the-MNIST-Database.pdf\">Extraction Method of Handwritten Digit Recognition Tested on the MNIST Database</a></li>\n<li><a href=\"https://ieeexplore.ieee.org/abstract/document/6755106\">Handwritten Digit Recognition Using K-Nearest Neighbour Classifier</a></li>\n</ol>",
  "messages": [
    {
      "id": 902494,
      "postDate": "2020-06-26T07:26:04.440Z",
      "content": "<ol>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0262885604000721\">Improved method of handwritten digit recognition tested on MNIST database</a></li>\n<li><a href=\"https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MNIST-SPM2012.pdf\">The MNIST Database of Handwritten Digit Images for Machine Learning Research </a></li>\n<li><a href=\"https://arxiv.org/pdf/1003.0358.pdf\">Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition</a></li>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0031320311004006\">A novel hybrid CNN–SVM classifier for recognizing handwritten digits</a></li>\n<li><a href=\"http://people.idsia.ch/~juergen/NNtricks.pdf\">Deep Big Multilayer Perceptrons For Digit Recognition</a></li>\n<li><a href=\"http://www.iapr-tc11.org/archive/icdar2011/fileup/PDF/4520b250.pdf\">Better digit recognition with a committee of simple Neural Nets</a></li>\n<li><a href=\"https://hal.archives-ouvertes.fr/hal-02131170/document\">Echo State Networks-based Reservoir Computing for MNIST Handwritten Digits Recognition</a></li>\n<li><a href=\"https://www.researchgate.net/profile/Badre_Eddine_El_Kessab2/publication/324845327_Extraction_Method_of_Handwritten_Digit_Recognition_Tested_on_the_MNIST_Database/links/5ae7914ea6fdcc03cd8db36d/Extraction-Method-of-Handwritten-Digit-Recognition-Tested-on-the-MNIST-Database.pdf\">Extraction Method of Handwritten Digit Recognition Tested on the MNIST Database</a></li>\n<li><a href=\"https://ieeexplore.ieee.org/abstract/document/6755106\">Handwritten Digit Recognition Using K-Nearest Neighbour Classifier</a></li>\n</ol>",
      "rawMarkdown": "1. [Improved method of handwritten digit recognition tested on MNIST database](https://www.sciencedirect.com/science/article/abs/pii/S0262885604000721)\n2. [The MNIST Database of Handwritten Digit Images for Machine Learning Research ](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MNIST-SPM2012.pdf)\n3. [Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition](https://arxiv.org/pdf/1003.0358.pdf)\n4. [A novel hybrid CNN–SVM classifier for recognizing handwritten digits](https://www.sciencedirect.com/science/article/abs/pii/S0031320311004006)\n5. [Deep Big Multilayer Perceptrons For Digit Recognition](http://people.idsia.ch/~juergen/NNtricks.pdf)\n6. [Better digit recognition with a committee of simple Neural Nets](http://www.iapr-tc11.org/archive/icdar2011/fileup/PDF/4520b250.pdf)\n7. [Echo State Networks-based Reservoir Computing for MNIST Handwritten Digits Recognition](https://hal.archives-ouvertes.fr/hal-02131170/document)\n8. [Extraction Method of Handwritten Digit Recognition Tested on the MNIST Database](https://www.researchgate.net/profile/Badre_Eddine_El_Kessab2/publication/324845327_Extraction_Method_of_Handwritten_Digit_Recognition_Tested_on_the_MNIST_Database/links/5ae7914ea6fdcc03cd8db36d/Extraction-Method-of-Handwritten-Digit-Recognition-Tested-on-the-MNIST-Database.pdf)\n9. [Handwritten Digit Recognition Using K-Nearest Neighbour Classifier](https://ieeexplore.ieee.org/abstract/document/6755106)",
      "votes": 7
    },
    {
      "id": 1637433,
      "postDate": "2022-01-03T22:04:52.697Z",
      "content": "<p>I am very interested in paper 6. Do you know anymore about ESNs being applied to non temporal tasks?</p>",
      "rawMarkdown": "I am very interested in paper 6. Do you know anymore about ESNs being applied to non temporal tasks?"
    },
    {
      "id": 902631,
      "postDate": "2020-06-26T09:18:07.113Z",
      "content": "<p>These are some good content. Thanks for sharing!</p>",
      "rawMarkdown": "These are some good content. Thanks for sharing!",
      "replies": [
        {
          "id": 903136,
          "postDate": "2020-06-26T15:39:43.940Z",
          "content": "<p>You are welcome <a href=\"/binaicrai\">@binaicrai</a> . I hope it helps!!</p>",
          "rawMarkdown": "You are welcome @binaicrai . I hope it helps!!"
        }
      ]
    },
    {
      "id": 1295689,
      "postDate": "2021-05-06T16:25:14.057Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 1637433,
      "author_name": "Mattias G Cross",
      "author_url": "",
      "post_date": "2022-01-03T22:04:52.697000",
      "content": "<p>I am very interested in paper 6. Do you know anymore about ESNs being applied to non temporal tasks?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 902631,
      "author_name": "DtneSEffct",
      "author_url": "",
      "post_date": "2020-06-26T09:18:07.113000",
      "content": "<p>These are some good content. Thanks for sharing!</p>",
      "votes": 0,
      "replies": [
        {
          "id": 903136,
          "author_name": "Ishan Dutta",
          "author_url": "",
          "post_date": "2020-06-26T15:39:43.940000",
          "content": "<p>You are welcome <a href=\"/binaicrai\">@binaicrai</a> . I hope it helps!!</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1295689,
      "author_name": "",
      "author_url": "",
      "post_date": "2021-05-06T16:25:14.057000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "902494": "1. [Improved method of handwritten digit recognition tested on MNIST database](https://www.sciencedirect.com/science/article/abs/pii/S0262885604000721)\n2. [The MNIST Database of Handwritten Digit Images for Machine Learning Research ](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MNIST-SPM2012.pdf)\n3. [Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition](https://arxiv.org/pdf/1003.0358.pdf)\n4. [A novel hybrid CNN–SVM classifier for recognizing handwritten digits](https://www.sciencedirect.com/science/article/abs/pii/S0031320311004006)\n5. [Deep Big Multilayer Perceptrons For Digit Recognition](http://people.idsia.ch/~juergen/NNtricks.pdf)\n6. [Better digit recognition with a committee of simple Neural Nets](http://www.iapr-tc11.org/archive/icdar2011/fileup/PDF/4520b250.pdf)\n7. [Echo State Networks-based Reservoir Computing for MNIST Handwritten Digits Recognition](https://hal.archives-ouvertes.fr/hal-02131170/document)\n8. [Extraction Method of Handwritten Digit Recognition Tested on the MNIST Database](https://www.researchgate.net/profile/Badre_Eddine_El_Kessab2/publication/324845327_Extraction_Method_of_Handwritten_Digit_Recognition_Tested_on_the_MNIST_Database/links/5ae7914ea6fdcc03cd8db36d/Extraction-Method-of-Handwritten-Digit-Recognition-Tested-on-the-MNIST-Database.pdf)\n9. [Handwritten Digit Recognition Using K-Nearest Neighbour Classifier](https://ieeexplore.ieee.org/abstract/document/6755106)",
    "1637433": "I am very interested in paper 6. Do you know anymore about ESNs being applied to non temporal tasks?",
    "902631": "These are some good content. Thanks for sharing!",
    "1295689": ""
  }
}