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» Minimization of an M-convex Function
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FPL
2008
Springer
104views Hardware» more  FPL 2008»
13 years 11 months ago
A technique for minimizing power during FPGA placement
This paper considers the implementation of an annealing technique for dynamic power reduction in FPGAs. The proposed method comprises a power-aware objective function for placemen...
Kristofer Vorwerk, Madhu Raman, Julien Dunoyer, Ya...
ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 11 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
13 years 10 months ago
A minimized zero mean entropy approach to networked control systems
A novel control method is proposed for networked control systems with nonlinear process, probably non-Gaussian process noise and time delays. The performance index of closed loop c...
Jianhua Zhang, Hong Wang 0001
JMLR
2006
107views more  JMLR 2006»
13 years 9 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
Di-Rong Chen, Tao Sun
ECCV
2002
Springer
14 years 11 months ago
Multi-camera Scene Reconstruction via Graph Cuts
We address the problem of computing the 3-dimensional shape of an arbitrary scene from a set of images taken at known viewpoints. Multi-camera scene reconstruction is a natural gen...
Vladimir Kolmogorov, Ramin Zabih