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165
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
147
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CEC
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract— Directional biases are evident in many benchmarking problems for real-valued global optimisation, as well as many of the evolutionary and allied algorithms that have be...
169
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FOCS
2005
IEEE
16 years 5 days ago
2005
IEEE
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
172
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DAGSTUHL
2007
15 years 8 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
169
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PODC
2005
ACM
16 years 3 days ago
2005
ACM
Many large-scale networks such as ad hoc and sensor networks, peer-to-peer networks, or the Internet have the property that the number of independent nodes does not grow arbitrari...