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» New interval methods for constrained global optimization
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135
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MMM
2009
Springer
186views Multimedia» more  MMM 2009»
15 years 10 months ago
A New Multiple Kernel Approach for Visual Concept Learning
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
132
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SIAMCO
2010
124views more  SIAMCO 2010»
14 years 10 months ago
Reachability and Minimal Times for State Constrained Nonlinear Problems without Any Controllability Assumption
We consider a target problem for a nonlinear system under state constraints. We give a new continuous level-set approach for characterizing the optimal times and the backward-reach...
Olivier Bokanowski, Nicolas Forcadel, Hasnaa Zidan...
ICIP
2009
IEEE
16 years 4 months ago
3d Scalable Lossless Compression Of Medical Images Based On Global And Local Symmetries
We recently proposed a symmetry-based scalable lossless compression method for 3D medical images using the 2D integer wavelet transform and the embedded block coder with optimized...
152
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GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 9 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 7 months ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba