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IJSNET
2007
97views more  IJSNET 2007»
15 years 6 months ago
Stochastic binary sensor networks for noisy environments
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
T. Nguyen, Dong Nguyen, Huaping Liu, Duc A. Tran
193
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TNN
2008
138views more  TNN 2008»
15 years 6 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
WD
2010
15 years 4 months ago
Enhancing FEC application in LTE cellular networks
3rd Generation Partnership Project's (3GPP) Long Term Evolution (LTE) is focused on enhancing the Universal Terrestrial Radio Access (UTRA). Evolved-Multimedia Broadcast and M...
Antonios G. Alexiou, Christos Bouras, Vasileios Ko...
ICC
2009
IEEE
15 years 4 months ago
On the Interaction Between Channel Coding and Hierarchical Modulation
1 Classical systems using hierarchical modulation (such as DVB-SH) involve a "high-priority" (HP) and a "lowpriority" (LP) bit stream that are separately and in...
Seyed Mohammad Sajad Sadough, Pierre Duhamel
ICCV
2011
IEEE
14 years 6 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang