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IEEEVAST
2010
15 years 1 months ago
ALIDA: Using machine learning for intent discernment in visual analytics interfaces
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
Tera Marie Green, Ross Maciejewski, Steve DiPaola
JMLR
2010
177views more  JMLR 2010»
15 years 1 months ago
Multitask Learning for Brain-Computer Interfaces
Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity to record subjectspecific calibration data prior to actual use of...
Morteza Alamgir, Moritz Grosse-Wentrup, Yasemin Al...
TNN
2011
142views more  TNN 2011»
15 years 1 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...
ICASSP
2011
IEEE
14 years 10 months ago
Sparse common spatial patterns in brain computer interface applications
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
Fikri Goksu, Nuri Firat Ince, Ahmed H. Tewfik
ICASSP
2011
IEEE
14 years 10 months ago
WinDSK8: A user interface for the OMAP-L138 DSP board
A new multi-core DSP board is available for university and industry engineers. The LogicPD ZoomTM OMAP-L138 eXperimenter Kit, featuring Texas Instruments’ dual core SoC (ARM9 an...
Michael G. Morrow, Cameron H. G. Wright, Thad B. W...