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NIPS
2007
13 years 9 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
ICASSP
2010
IEEE
13 years 7 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
Computationally efficient flux variability analysis
Background: Flux variability analysis is often used to determine robustness of metabolic models in various simulation conditions. However, its use has been somehow limited by the ...
Steinn Gudmundsson, Ines Thiele
WIOPT
2010
IEEE
13 years 5 months ago
Fractional frequency reuse and interference suppression for OFDMA networks
—The downlink performance of cellular networks is known to be strongly limited by inter-cell interference. In order to mitigate this interference, a number of frequency reuse sch...
Rizwan Ghaffar, Raymond Knopp
WIOPT
2011
IEEE
12 years 11 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely