These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.
", "messages": [ { "id": 323176, "postDate": "2018-05-04T14:52:38.120Z", "content": "These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.
", "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.", "votes": 25 }, { "id": 323506, "postDate": "2018-05-05T10:09:02.423Z", "content": "Simple Hough Transform implementation is in the kernel https://www.kaggle.com/mikhailhushchyn/hough-transform
", "rawMarkdown": "Simple Hough Transform implementation is in the kernel https://www.kaggle.com/mikhailhushchyn/hough-transform", "votes": 1 }, { "id": 323182, "postDate": "2018-05-04T14:57:33.143Z", "content": "An introduction to particles tracking and more information about helix equation, that can be used here: http://www.physics.iitm.ac.in/~sercehep2013/track2_Gagan_Mohanty.pdf
", "rawMarkdown": "An introduction to particles tracking and more information about helix equation, that can be used here: http://www.physics.iitm.ac.in/~sercehep2013/track2_Gagan_Mohanty.pdf ", "votes": 1 }, { "id": 323319, "postDate": "2018-05-04T20:30:40.050Z", "content": "Thanks a lot for these resources!
\n\nWhen i was searching the web i found this one, but i'm not sure if it is helpful or has been mentioned already:\nhttps://erez.weizmann.ac.il/pls/htmldb/f?p=101:58:::NO:RP:P58_CODE,P58_FILE:5393,Y
", "rawMarkdown": "Thanks a lot for these resources!\n\nWhen i was searching the web i found this one, but i'm not sure if it is helpful or has been mentioned already:\nhttps://erez.weizmann.ac.il/pls/htmldb/f?p=101:58:::NO:RP:P58_CODE,P58_FILE:5393,Y", "votes": 2, "replies": [ { "id": 323352, "postDate": "2018-05-04T22:33:18.653Z", "content": "Thank you very much for these slides. They are very interesting.
", "rawMarkdown": "Thank you very much for these slides. They are very interesting." } ] }, { "id": 323877, "postDate": "2018-05-06T13:37:37.273Z", "content": "Details about Hough transform for circle tracks.
", "rawMarkdown": "Details about Hough transform for circle tracks." }, { "id": 323283, "postDate": "2018-05-04T18:48:43.937Z", "content": "Thank you Mikhail! These are very useful!
", "rawMarkdown": "Thank you Mikhail! These are very useful!" }, { "id": 323200, "postDate": "2018-05-04T15:44:37.610Z", "content": "@Mikhail Hushchyn
\n\nThanks! i was wondering if deeper network can make a better transform mapping then conformal mapping, etc to map heliex paths into straight paths
", "rawMarkdown": "@Mikhail Hushchyn\n\nThanks! i was wondering if deeper network can make a better transform mapping then conformal mapping, etc to map heliex paths into straight paths", "replies": [ { "id": 323353, "postDate": "2018-05-04T22:35:14.207Z", "content": "I do not know such methods. But you can be the first who will discover it :)
", "rawMarkdown": "I do not know such methods. But you can be the first who will discover it :)" } ] }, { "id": 323187, "postDate": "2018-05-04T15:09:52.493Z", "content": "General description of several method of track pattern recognition https://github.com/yandexdataschool/mlhep2016/blob/master/day_3/advanced_lectures/MLHEP_tracks_recognition.pdf
", "rawMarkdown": "General description of several method of track pattern recognition https://github.com/yandexdataschool/mlhep2016/blob/master/day_3/advanced_lectures/MLHEP_tracks_recognition.pdf" }, { "id": 323186, "postDate": "2018-05-04T15:05:48.480Z", "content": "About coordinates transformation and Hough transform: https://indico.gsi.de/event/503/contribution/25/material/slides/0.pdf
", "rawMarkdown": "About coordinates transformation and Hough transform: https://indico.gsi.de/event/503/contribution/25/material/slides/0.pdf" }, { "id": 1000619, "postDate": "2020-09-06T16:58:02.660Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1000618, "postDate": "2020-09-06T16:57:43.070Z", "content": "Oh jeez. Thanks man:3
", "rawMarkdown": "Oh jeez. Thanks man:3" }, { "id": 323653, "postDate": "2018-05-05T19:07:37.703Z", "content": "Thank you, these are very useful!
", "rawMarkdown": "Thank you, these are very useful!" } ], "comments": [ { "id": 323506, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-05T10:09:02.423000", "content": "Simple Hough Transform implementation is in the kernel https://www.kaggle.com/mikhailhushchyn/hough-transform
", "votes": 1, "replies": [] }, { "id": 323182, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-04T14:57:33.143000", "content": "An introduction to particles tracking and more information about helix equation, that can be used here: http://www.physics.iitm.ac.in/~sercehep2013/track2_Gagan_Mohanty.pdf
", "votes": 1, "replies": [] }, { "id": 323319, "author_name": "Hillbilly", "author_url": "", "post_date": "2018-05-04T20:30:40.050000", "content": "Thanks a lot for these resources!
\n\nWhen i was searching the web i found this one, but i'm not sure if it is helpful or has been mentioned already:\nhttps://erez.weizmann.ac.il/pls/htmldb/f?p=101:58:::NO:RP:P58_CODE,P58_FILE:5393,Y
", "votes": 2, "replies": [ { "id": 323352, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-04T22:33:18.653000", "content": "Thank you very much for these slides. They are very interesting.
", "votes": 0, "replies": [] } ] }, { "id": 323877, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-06T13:37:37.273000", "content": "Details about Hough transform for circle tracks.
", "votes": 0, "replies": [] }, { "id": 323283, "author_name": "Konchar", "author_url": "", "post_date": "2018-05-04T18:48:43.937000", "content": "Thank you Mikhail! These are very useful!
", "votes": 0, "replies": [] }, { "id": 323200, "author_name": "hengck23", "author_url": "", "post_date": "2018-05-04T15:44:37.610000", "content": "@Mikhail Hushchyn
\n\nThanks! i was wondering if deeper network can make a better transform mapping then conformal mapping, etc to map heliex paths into straight paths
", "votes": 0, "replies": [ { "id": 323353, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-04T22:35:14.207000", "content": "I do not know such methods. But you can be the first who will discover it :)
", "votes": 0, "replies": [] } ] }, { "id": 323187, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-04T15:09:52.493000", "content": "General description of several method of track pattern recognition https://github.com/yandexdataschool/mlhep2016/blob/master/day_3/advanced_lectures/MLHEP_tracks_recognition.pdf
", "votes": 0, "replies": [] }, { "id": 323186, "author_name": "Mikhail Hushchyn", "author_url": "", "post_date": "2018-05-04T15:05:48.480000", "content": "About coordinates transformation and Hough transform: https://indico.gsi.de/event/503/contribution/25/material/slides/0.pdf
", "votes": 0, "replies": [] }, { "id": 1000619, "author_name": "", "author_url": "", "post_date": "2020-09-06T16:58:02.660000", "content": "", "votes": 0, "replies": [] }, { "id": 1000618, "author_name": "Alberto Zorzetto", "author_url": "", "post_date": "2020-09-06T16:57:43.070000", "content": "Oh jeez. Thanks man:3
", "votes": 0, "replies": [] }, { "id": 323653, "author_name": "", "author_url": "", "post_date": "2018-05-05T19:07:37.703000", "content": "Thank you, these are very useful!
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "323176": "These slides contain several ideas of track pattern recognition used in real physics experiments. Slides 16-20 can be very useful for this competition.", "323506": "Simple Hough Transform implementation is in the kernel https://www.kaggle.com/mikhailhushchyn/hough-transform", "323182": "An introduction to particles tracking and more information about helix equation, that can be used here: http://www.physics.iitm.ac.in/~sercehep2013/track2_Gagan_Mohanty.pdf ", "323319": "Thanks a lot for these resources!\n\nWhen i was searching the web i found this one, but i'm not sure if it is helpful or has been mentioned already:\nhttps://erez.weizmann.ac.il/pls/htmldb/f?p=101:58:::NO:RP:P58_CODE,P58_FILE:5393,Y", "323877": "Details about Hough transform for circle tracks.", "323283": "Thank you Mikhail! These are very useful!", "323200": "@Mikhail Hushchyn\n\nThanks! i was wondering if deeper network can make a better transform mapping then conformal mapping, etc to map heliex paths into straight paths", "323187": "General description of several method of track pattern recognition https://github.com/yandexdataschool/mlhep2016/blob/master/day_3/advanced_lectures/MLHEP_tracks_recognition.pdf", "323186": "About coordinates transformation and Hough transform: https://indico.gsi.de/event/503/contribution/25/material/slides/0.pdf", "1000619": "", "1000618": "Oh jeez. Thanks man:3", "323653": "Thank you, these are very useful!" } }