PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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.

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.

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EPrint Type:Conference or Workshop Item (Invited Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Machine Vision
User Modelling for Computer Human Interaction
Brain Computer Interfaces
ID Code:7365
Deposited By:Mikko Kurimo
Deposited On:17 March 2011