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» Multitask Learning for Brain-Computer Interfaces
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IUI
2005
ACM
14 years 1 months ago
TaskTracer: a desktop environment to support multi-tasking knowledge workers
This paper reports on TaskTracer — a software system being designed to help highly multitasking knowledge workers rapidly locate, discover, and reuse past processes they used to...
Anton N. Dragunov, Thomas G. Dietterich, Kevin Joh...
IRI
2003
IEEE
14 years 22 days ago
Generalizing Interface Design Knowledge: Lessons Learned from Developing a Claims Library
The experience of preparing interface design knowledge to be reusable allows reflection on the process, potential, and general challenges of effectively and efficiently using this...
Catherine Payne, C. F. Allgood, Christa M. Chewar,...
ICPR
2010
IEEE
13 years 11 months ago
Spatially Regularized Common Spatial Patterns for EEG Classification
In this paper, we propose a new algorithm for BrainComputer Interface (BCI): the Spatially Regularized Common Spatial Patterns (SRCSP). SRCSP is an extension of the famous CSP alg...
Fabien Lotte, Cuntai Guan
NIPS
2007
13 years 9 months ago
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
Christoforos Christoforou, Paul Sajda, Lucas C. Pa...
ICASSP
2011
IEEE
12 years 11 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo