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» A Linguistic Theory of Robustness
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ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
15 years 4 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli
DNA
2007
Springer
159views Bioinformatics» more  DNA 2007»
15 years 4 months ago
Activatable Tiles: Compact, Robust Programmable Assembly and Other Applications
While algorithmic DNA self-assembly is, in theory, capable of forming complex patterns, its experimental demonstration has been limited by significant assembly errors. In this pa...
Urmi Majumder, Thomas H. LaBean, John H. Reif
DSMML
2004
Springer
15 years 3 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
IJCNN
2000
IEEE
15 years 2 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
14 years 11 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz