The sixth annual MLSP competition, 2010
Kenneth E. Hild II, Mikko Kurimo and Vince D. Calhoun
In: IEEE workshop MSLP, 29 Aug - 1 Sep, 2010, Kittilä, Finland.
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.