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PPSN
2004
Springer
15 years 9 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
IJON
2007
100views more  IJON 2007»
15 years 3 months ago
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties
The blind source separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical independence between outputs. Since global maximization may...
Frédéric Vrins, Dinh-Tuan Pham
ICAC
2007
IEEE
15 years 7 months ago
Evaluation of Optimization Methods for Network Bottleneck Diagnosis
We consider the problem of localizing network performance bottlenecks and evaluate how various optimization techniques developed for reconstructing link delays perform on this dec...
Alina Beygelzimer, Jeffrey O. Kephart, Irina Rish
ATAL
2009
Springer
15 years 10 months ago
Sensitivity analysis for distributed optimization with resource constraints
Previous work in multiagent coordination has addressed the challenge of planning in domains where agents must optimize a global goal, while satisfying local resource constraints. ...
Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tamb...
DAGM
2007
Springer
15 years 10 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel