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SENSYS
2006
ACM
14 years 1 months ago
ATPC: adaptive transmission power control for wireless sensor networks
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environme...
Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, John A...
CDC
2009
IEEE
121views Control Systems» more  CDC 2009»
14 years 21 days ago
Piecewise-linear constrained control for timed continuous Petri nets
— Timed Continuous Petri Net (TCPN) systems are piecewise linear models with input constraints that can approximate the dynamical behavior of a class of timed discrete event syst...
Carlos Renato Vázquez, Manuel Silva
ACSAC
2000
IEEE
14 years 12 days ago
Virtual Enterprise Networks: The Next Generation of Secure Enterprise Networking
We present a vision of computing environments in which enterprise networks are built using untrusted public infrastructures. The vision allows for networks to dynamically change d...
Germano Caronni, S. Kumar, Christoph L. Schuba, Gl...
IJON
1998
95views more  IJON 1998»
13 years 7 months ago
Self-organization and segmentation in a laterally connected orientation map of spiking neurons
The RF-SLISSOM model integrates two separate lines of research on computational modeling of the visual cortex. Laterally connected self-organizing maps have been used to model how...
Yoonsuck Choe, Risto Miikkulainen
JMLR
2008
230views more  JMLR 2008»
13 years 8 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...