A New Feature Extraction Algorithm Based on Orthogonal Regularized Kernel CCA and Its Application

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Numbers of the training samples</td><td class="align_center">ORCCA (%)</td><td class="align_center">ORKCCA (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">100</td><td class="align_center">65.0</td><td class="align_center">73.1</td></tr><tr><td class="align_left">175</td><td class="align_center">72.4</td><td class="align_center">77.8</td></tr><tr><td class="align_left">250</td><td class="align_center">76.5</td><td class="align_center">83.6</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparisons of the accuracies of classification for ORCCA and ORKCCA.</div>

Journal of Electrical and Computer Engineering

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Table 4

Table 4: A New Feature Extraction Algorithm Based on Orthogonal Regularized Kernel CCA and Its Application 