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» Reconfiguring a state machine
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147
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ICASSP
2011
IEEE
14 years 6 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
127
Voted
IROS
2009
IEEE
162views Robotics» more  IROS 2009»
15 years 9 months ago
Intelligent vehicle localization using GPS, compass, and machine vision
— Intelligent vehicles require accurate localization relative to a map to ensure safe travel. GPS sensors are among the most useful sensors for outdoor localization, but they sti...
Somphop Limsoonthrakul, Matthew N. Dailey, Manukid...
193
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ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
15 years 8 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
139
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CAINE
2008
15 years 4 months ago
New Architecture and Protocols for Global-Scale Machine Communities
This article is about the new universal architecture which allows electronic devices of different functionalities and manufacturers, as well as on-line services, to seamlessly int...
Vladimir Krylov, N. Mikhaylov, Dmitry V. Ponomarev
106
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EMNLP
2008
15 years 4 months ago
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding over translation lattices that compactly encode a huge number of translation hypotheses. We describe conditions on the loss function t...
Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfg...