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  • 2011:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,982 words) - 15:43, 8 July 2011
  • 2011:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...at follow this Train/Test process. For MIREX 2011, five classification sub-tasks are included:
    13 KB (1,875 words) - 15:48, 8 July 2011
  • 2011:MIREX2011 Results
    This year we ran many MIREX 2011 Tasks using the new [http://nema.lis.uiuc.edu/drupal/?q=nema/architecture NEMA MI ===Train-Test Task Set===
    4 KB (596 words) - 17:21, 18 May 2012
  • 2011:MIREX 2011 Poster List
    We had many groups/individuals submit across tasks. You can choose to create one ISMIR poster bringing all your data together # IMIRSEL: ''MIREX 2011 Overview, Part I'' (Train Test Tasks)
    6 KB (850 words) - 10:24, 27 October 2011
  • 2008:Audio Tag Classification
    ...ver, is that many tags can apply to the same clip, so instead of one N-way classification per clip, this task requires N binary classifications per clip. A provisional specification of the tag classification task is detailed below. This proposal may be refined based on feedback from
    22 KB (3,434 words) - 23:39, 19 December 2011
  • 2012:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...at follow this Train/Test process. For MIREX 2012, five classification sub-tasks are included:
    11 KB (1,608 words) - 16:39, 7 June 2012
  • 2012:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,970 words) - 16:30, 7 June 2012
  • 2012:MIREX Home
    ...cial deviations from traditional MIREX submission procedures for these two tasks. Should they arise, participants will be informed. ...ngs from the Million Song Dataset. Given partial historical data for each test user, the goal is to produce a ranking over the remaining songs for that us
    10 KB (1,554 words) - 05:31, 14 March 2013
  • 2012:MIREX2012 Results
    ===Train-Test Task Set=== * [https://www.music-ir.org/nema_out/mirex2012/results/act/composer_report/ Audio Classical Composer Identification Results ]  
    5 KB (655 words) - 21:21, 5 October 2012
  • 2013:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...at follow this Train/Test process. For MIREX 2013, five classification sub-tasks are included:
    11 KB (1,608 words) - 11:33, 16 June 2013
  • 2013:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,970 words) - 11:16, 4 June 2013
  • 2013:Main Page
    ...discussions at ISMIR 2012, we are prepared to improve the distribution of tasks for the upcoming MIREX 2013. To do so, we really need leaders to help us o ...year, we have a single deadline for all submissions. Submissions for all tasks are due by:
    8 KB (1,225 words) - 22:35, 29 June 2014
  • 2013:Task Captains
    ...discussions at ISMIR 2012, we are prepared to improve the distribution of tasks for the upcoming MIREX 2013. To do so, we really need leaders to help us o To volunteer to lead one or more tasks, please add your name in the "Captains" column.
    2 KB (294 words) - 16:14, 4 August 2013
  • 2013:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...stern (or other cultural) music can be applied to K-POP music; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,219 words) - 02:52, 31 July 2013
  • 2013:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...stern (or other cultural) music can be applied to K-POP music; 2)to see if classification models can be equally effective on predicting mood labels by American annot
    9 KB (1,315 words) - 12:17, 19 January 2014
  • 2013:MIREX2013 Results
    ===Train-Test Task Set=== * [https://www.music-ir.org/nema_out/mirex2013/results/act/composer_report/ Audio Classical Composer Identification Results ]  
    5 KB (688 words) - 23:23, 24 October 2014
  • 2014:Main Page
    Like ISMIR 2013, we are prepared to improve the distribution of tasks for the upcoming MIREX 2014. To do so, we really need leaders to help us o This year, we have different deadlines for different tasks:
    9 KB (1,330 words) - 14:32, 24 September 2014
  • 2014:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...at follow this Train/Test process. For MIREX 2014, five classification sub-tasks are included:
    11 KB (1,608 words) - 14:21, 7 January 2014
  • 2014:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,272 words) - 17:16, 17 September 2014
  • 2014:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...stern (or other cultural) music can be applied to K-POP music; 2)to see if classification models can be equally effective on predicting mood labels by American annot
    9 KB (1,315 words) - 14:27, 7 January 2014

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