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JUCS
2006
185views more  JUCS 2006»
15 years 5 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
VTC
2010
IEEE
153views Communications» more  VTC 2010»
15 years 3 months ago
H.264 Wireless Video Telephony Using Iteratively-Detected Binary Self-Concatenated Coding
— In this contribution we propose a robust H.264 coded wireless video transmission scheme using iteratively decoded self-concatenated convolutional coding (SECCC). The proposed S...
Nasruminallah, Muhammad Fasih Uddin Butt, Soon Xin...
CVPR
2007
IEEE
16 years 7 months ago
Shadow Removal in Front Projection Environments Using Object Tracking
When an occluding object, such as a person, stands between a projector and a display surface, a shadow results. We can compensate by positioning multiple projectors so they produc...
Samuel Audet, Jeremy R. Cooperstock
DSN
2008
IEEE
15 years 11 months ago
AGIS: Towards automatic generation of infection signatures
An important yet largely uncharted problem in malware defense is how to automate generation of infection signatures for detecting compromised systems, i.e., signatures that charac...
Zhuowei Li, XiaoFeng Wang, Zhenkai Liang, Michael ...
AVSS
2006
IEEE
15 years 11 months ago
Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...
Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunz...