The Sixth Annual MLSP Competition, 2010

Kenneth E. Hild, Mikko Kurimo, Vince D. Calhoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For the Sixth Annual Machine Learning for Signal Processing competition, sponsored by Nokia and PASCAL2, entrants were asked to develop a classifier, with optional feature extraction, that uses electroencephalography (EEG) data collected during an image presentation (visual odd-ball) task and optimally determines whether each image presented to a user contains or does not contain a pre-specified target. In this paper, we (the organizers of the competition) briefly describe the application, the data, the rules, and the outcomes of the competition. A total of 35 teams entered the contest. Training data were provided. The entries were tested using disjoint test data. The three teams with the best performing entries describe the approach they used in three separate companion papers, all of which appear in this year's conference proceedings.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010
Pages107-111
Number of pages5
DOIs
StatePublished - Nov 24 2010
Externally publishedYes
Event2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010 - Kittila, Finland
Duration: Aug 29 2010Sep 1 2010

Publication series

NameProceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

Other

Other2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010
CountryFinland
CityKittila
Period8/29/109/1/10

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing

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