Dear Kaggle Users,
\nI'm a newcomer to Kaggle competitions and I'm currently participating in the Ink Detection competition. I'm struggling to find relevant reference papers or other resources to help me improve my performance in the competition. I've tried searching on Google Scholar and Arxiv, but haven't found anything particularly helpful.
\nI'm hoping that someone in the community can provide me with some guidance on where I might be able to find relevant literature or other resources that could help me in the competition. Perhaps there are some specific keywords or search strategies that I should be using? Or maybe someone could point me in the direction of a particularly useful forum thread or blog post?
\nAny advice or assistance would be greatly appreciated! Thank you in advance for your help.
\nBest regards.
", "messages": [ { "id": "2186708", "postDate": "03/18/2023 03:27:33", "content": "Dear Kaggle Users,
\nI'm a newcomer to Kaggle competitions and I'm currently participating in the Ink Detection competition. I'm struggling to find relevant reference papers or other resources to help me improve my performance in the competition. I've tried searching on Google Scholar and Arxiv, but haven't found anything particularly helpful.
\nI'm hoping that someone in the community can provide me with some guidance on where I might be able to find relevant literature or other resources that could help me in the competition. Perhaps there are some specific keywords or search strategies that I should be using? Or maybe someone could point me in the direction of a particularly useful forum thread or blog post?
\nAny advice or assistance would be greatly appreciated! Thank you in advance for your help.
\nBest regards.
", "rawMarkdown": "Dear Kaggle Users,\n\nI'm a newcomer to Kaggle competitions and I'm currently participating in the **Ink Detection** competition. I'm struggling to find relevant reference papers or other resources to help me improve my performance in the competition. I've tried searching on Google Scholar and Arxiv, but haven't found anything particularly helpful.\n\nI'm hoping that someone in the community can provide me with some guidance on where I might be able to find relevant literature or other resources that could help me in the competition. Perhaps there are some specific keywords or search strategies that I should be using? Or maybe someone could point me in the direction of a particularly useful forum thread or blog post?\n\nAny advice or assistance would be greatly appreciated! Thank you in advance for your help.\n\nBest regards.", "votes": null }, { "id": "2186764", "postDate": "03/18/2023 05:00:33", "content": "In the FAQ we link to papers and talks that are specific to this problem, so you might want to check that out. That said, those don't go too much into particular ML/DS methods that might be useful for this competition, so perhaps others can chime in with suggestions there?
", "rawMarkdown": "In the [FAQ](https://scrollprize.org/faq) we link to papers and talks that are specific to this problem, so you might want to check that out. That said, those don't go too much into particular ML/DS methods that might be useful for this competition, so perhaps others can chime in with suggestions there?", "votes": null }, { "id": "2186824", "postDate": "03/18/2023 06:14:43", "content": "Thank you for your response and suggestion. I will definitely check out the FAQ for any relevant papers and talks specific to this problem. While I understand that the FAQ might not provide much detail on specific ML/DS methods for this competition, I appreciate any guidance or recommendations that other experienced Kaggle users might have.
\nIf anyone has any further suggestions or advice on the most suitable ML/DS methods for this competition, I would be grateful to hear them.
There hasn't been much research into ink detection from Papyri, but we can look into analogous research in other domains. I just posted some thoughts and reference papers here
", "rawMarkdown": "There hasn't been much research into ink detection from Papyri, but we can look into analogous research in other domains. I just posted some thoughts and reference papers [here](https://www.kaggle.com/competitions/vesuvius-challenge-ink-detection/discussion/395676)", "votes": null }, { "id": "2187715", "postDate": "03/19/2023 01:36:21", "content": "I find this information extremely valuable. Thank you so much for sharing!
", "rawMarkdown": "I find this information extremely valuable. Thank you so much for sharing!", "votes": null } ], "comments": [ { "id": 2186764, "author_name": "jpposma", "author_url": "", "post_date": "03/18/2023 05:00:33", "content": "In the FAQ we link to papers and talks that are specific to this problem, so you might want to check that out. That said, those don't go too much into particular ML/DS methods that might be useful for this competition, so perhaps others can chime in with suggestions there?
", "votes": null, "replies": [ { "id": 2186824, "author_name": "jichuanhao", "author_url": "", "post_date": "03/18/2023 06:14:43", "content": "Thank you for your response and suggestion. I will definitely check out the FAQ for any relevant papers and talks specific to this problem. While I understand that the FAQ might not provide much detail on specific ML/DS methods for this competition, I appreciate any guidance or recommendations that other experienced Kaggle users might have.
\nIf anyone has any further suggestions or advice on the most suitable ML/DS methods for this competition, I would be grateful to hear them.
There hasn't been much research into ink detection from Papyri, but we can look into analogous research in other domains. I just posted some thoughts and reference papers here
", "votes": null, "replies": [ { "id": 2187715, "author_name": "jichuanhao", "author_url": "", "post_date": "03/19/2023 01:36:21", "content": "I find this information extremely valuable. Thank you so much for sharing!
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2186708": "Dear Kaggle Users,\n\nI'm a newcomer to Kaggle competitions and I'm currently participating in the **Ink Detection** competition. I'm struggling to find relevant reference papers or other resources to help me improve my performance in the competition. I've tried searching on Google Scholar and Arxiv, but haven't found anything particularly helpful.\n\nI'm hoping that someone in the community can provide me with some guidance on where I might be able to find relevant literature or other resources that could help me in the competition. Perhaps there are some specific keywords or search strategies that I should be using? Or maybe someone could point me in the direction of a particularly useful forum thread or blog post?\n\nAny advice or assistance would be greatly appreciated! Thank you in advance for your help.\n\nBest regards.", "2186764": "In the [FAQ](https://scrollprize.org/faq) we link to papers and talks that are specific to this problem, so you might want to check that out. That said, those don't go too much into particular ML/DS methods that might be useful for this competition, so perhaps others can chime in with suggestions there?", "2186824": "Thank you for your response and suggestion. I will definitely check out the FAQ for any relevant papers and talks specific to this problem. While I understand that the FAQ might not provide much detail on specific ML/DS methods for this competition, I appreciate any guidance or recommendations that other experienced Kaggle users might have. \nIf anyone has any further suggestions or advice on the most suitable ML/DS methods for this competition, I would be grateful to hear them.", "2186904": "There hasn't been much research into ink detection from Papyri, but we can look into analogous research in other domains. I just posted some thoughts and reference papers [here](https://www.kaggle.com/competitions/vesuvius-challenge-ink-detection/discussion/395676)", "2187715": "I find this information extremely valuable. Thank you so much for sharing!" }, "source": "meta" }