{
  "id": 60693,
  "title": "How to track Pattern Recognition",
  "url": "/competitions/trackml-particle-identification/discussion/60693",
  "author_name": "",
  "post_date": "2018-07-08T13:32:41.088905800Z",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.\n<a href=\"https://storage.googleapis.com/kaggle-forum-message-attachments/323176/9363/Ososkov_Pattern_Recognition__in_HEP.pdf\">https://storage.googleapis.com/kaggle-forum-message-attachments/323176/9363/Ososkov_Pattern_Recognition__in_HEP.pdf</a></p>",
  "messages": [
    {
      "id": "354002",
      "postDate": "07/08/2018 13:32:41",
      "content": "<p>These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.\n<a href=\"https://storage.googleapis.com/kaggle-forum-message-attachments/323176/9363/Ososkov_Pattern_Recognition__in_HEP.pdf\">https://storage.googleapis.com/kaggle-forum-message-attachments/323176/9363/Ososkov_Pattern_Recognition__in_HEP.pdf</a></p>",
      "rawMarkdown": "These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.\nhttps://kaggle2.blob.core.windows.net/forum-message-attachments/323176/9363/Ososkov_Pattern_Recognition__in_HEP.pdf",
      "votes": null
    },
    {
      "id": "354067",
      "postDate": "07/08/2018 16:36:21",
      "content": "<p>Thanks for sharing. The explanations of the coordinate transform on slide 16 and 17 is very helpful.</p>",
      "rawMarkdown": "Thanks for sharing. The explanations of the coordinate transform on slide 16 and 17 is very helpful.",
      "votes": null
    },
    {
      "id": "354068",
      "postDate": "07/08/2018 16:38:53",
      "content": "<p>Thank you dude!!!</p>",
      "rawMarkdown": "Thank you dude!!!",
      "votes": null
    },
    {
      "id": "354140",
      "postDate": "07/08/2018 20:54:05",
      "content": "<p>Thanks @dineshbarri_1997, this is very useful.</p>",
      "rawMarkdown": "Thanks @dineshbarri_1997, this is very useful.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 354067,
      "author_name": "jackvial",
      "author_url": "",
      "post_date": "07/08/2018 16:36:21",
      "content": "<p>Thanks for sharing. The explanations of the coordinate transform on slide 16 and 17 is very helpful.</p>",
      "votes": null,
      "replies": [
        {
          "id": 354068,
          "author_name": "dinuuu",
          "author_url": "",
          "post_date": "07/08/2018 16:38:53",
          "content": "<p>Thank you dude!!!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 354140,
      "author_name": "sheriytm",
      "author_url": "",
      "post_date": "07/08/2018 20:54:05",
      "content": "<p>Thanks @dineshbarri_1997, this is very useful.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "354002": "These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.\nhttps://kaggle2.blob.core.windows.net/forum-message-attachments/323176/9363/Ososkov_Pattern_Recognition__in_HEP.pdf",
    "354067": "Thanks for sharing. The explanations of the coordinate transform on slide 16 and 17 is very helpful.",
    "354068": "Thank you dude!!!",
    "354140": "Thanks @dineshbarri_1997, this is very useful."
  },
  "source": "meta"
}