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The new DFB is easy in design and has merits: low redundancy ratio and fine directional-frequency tiling.
In this paper, we propose a novel unsupervised feature selection algorithm, which retains the preserving power, and implements high sparsity and low redundancy in a unified manner.
In conventional multi-label feature selection methods, the final feature subset is obtained by identifying the features of high relevance with low redundancy.
They added some moving robots in weak zone to keep the network with low redundancy.
Communication messages should be of low redundancy rate and minimum message exchange between the nodes.
We utilize it in order to summarize video shots with low redundancy.
The best-fit line is indicated by the dashed lines for (a) high redundancy and (b) low redundancy.
By combining the advantages of both the hyperanalytic wavelet transform and the shear operation, hyperanalytic shearlet is easy to implement and also has a low redundancy.
The reconstruction data corresponding to the data with high redundancy and low redundancy is defined along the first principle direction and scattered.
Finally, compared with the embedded image analysis mechanism, the proposed mechanism has the advantages of high recognition accuracy, low computational complexity, and low redundancy.
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By selecting members from each cluster, a low-redundancy clone subset is chosen for sequencing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com