Search alternatives:
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
image linear » image 1_linear (Expand Search), image 2_linear (Expand Search), simple linear (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
image linear » image 1_linear (Expand Search), image 2_linear (Expand Search), simple linear (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…The MapReduce parallel programming model on the Hadoop platform is used to perform an adaptive fusion of hue, local binary pattern (LBP) and scale-invariant feature transform (SIFT) features extracted from images to derive optimal combinations of weights. …”
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”