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CIIA
2009
15 years 7 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
TPDS
2008
93views more  TPDS 2008»
15 years 6 months ago
Evaluating Dynamic Task Mapping in Network Processor Runtime Systems
Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications ...
Xin Huang, Tilman Wolf
PAMI
2010
132views more  PAMI 2010»
15 years 5 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICIP
2006
IEEE
16 years 8 months ago
Spatially Constrained Wiener Filter with Markov Autocorrelation Modeling for Image Resolution Enhancement
This paper develops a practical method for image resolution enhancement. The method optimizes the spatially constrained Wiener filter for an efficiently parameterized model of the...
Jiazheng Shi, Stephen E. Reichenbach
VTC
2007
IEEE
126views Communications» more  VTC 2007»
16 years 1 months ago
Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems
— This constribution considers nonlinear space-time equalisation (STE) designed for single-input multiple-output (SIMO) systems. By exploiting the inherent symmetry of the underl...
Lajos Hanzo, Sheng Chen, S. Liu