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Thirdly, according to file correlation features, files are classified into three types: structurally-related files, logically-related files, and independent files.
Our proposed method can simultaneously employ multiple kernels to better capture the nonlinear distribution information of each view, so that correlation features learned by KAMCCA can have well discriminating power in real-world image recognition.
It will up-sell users on realtime alerting, automatic remediation and advanced correlation features.
Our method outperforms classical semi-supervised frameworks, which perform dimensionality reduction on the correlation features followed by non-linear regression to predict the clinical scores.
By analyzing the real radar data, the disparity of these correlation features of the target and sea clutter is illustrated clearly.
Therefore, it is natural to design a novel detector based on these correlation features for the detection of the range-distributed target in sea clutter.
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Fig. 5 Flowchart of correlation feature-based detector.
Furthermore, the more various samples of this correlation feature can be obtained for sea clutter.
The second approach to the feature selection is based on correlation and called correlation feature selection (CFS) [26].
The foundation of the works on feedback overhead reduction for MIMO systems is the correlation feature of MIMO channels.
We design a correlation feature-based detector for detecting the range distributed targets embedded within sea clutter.
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