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ESANN
2007
15 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
NIPS
1997
15 years 6 months ago
Extended ICA Removes Artifacts from Electroencephalographic Recordings
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...
Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott...
129
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BMCBI
2006
124views more  BMCBI 2006»
15 years 5 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
ICC
2011
IEEE
215views Communications» more  ICC 2011»
14 years 4 months ago
Optimal Packet Scheduling in a Broadcast Channel with an Energy Harvesting Transmitter
—In this paper, we investigate the transmission completion time minimization problem in a two-user additive white Gaussian noise (AWGN) broadcast channel, where the transmitter i...
Jing Yang, Omur Ozel, Sennur Ulukus
CVPR
2008
IEEE
16 years 7 months ago
Order consistent change detection via fast statistical significance testing
Robustness to illumination variations is a key requirement for the problem of change detection which in turn is a fundamental building block for many visual surveillance applicati...
Maneesh Singh, Vasu Parameswaran, Visvanathan Rame...