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ECCV
2004
Springer
14 years 3 months ago
Combining Simple Models to Approximate Complex Dynamics
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICONIP
2004
13 years 11 months ago
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
Ranjith Vasireddy, Somenath Biswas
IGARSS
2009
13 years 7 months ago
Self-organising Sensor Web using Cell-Fate Optimisation
The Sensor Web as an open complex adaptive system exhibits many characteristic that are common to selforganising systems. One of the characteristics of the Sensor Web is that of s...
Terence L. van Zyl, Elizabeth Marie Ehlers
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
13 years 5 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
GLOBECOM
2007
IEEE
13 years 12 months ago
Optimal Downlink OFDMA Subcarrier, Rate, and Power Allocation with Linear Complexity to Maximize Ergodic Weighted-Sum Rates
Abstract— In this paper, we propose a resource allocation algorithm for ergodic weighted-sum rate maximization in downlink OFDMA systems. In contrast to most previous research tha...
Ian C. Wong, Brian L. Evans