<p>(A) The algorithms are evaluated with (B) The algorithms are evaluated with (C) The algorithms are evaluated with (D) The algorithms are evaluated with (E) The algorithms are evaluated with (F) The algorithms are evaluated with (G) The algorithms are evaluated with (H) The algorithms are evaluated with (I) The algorithms are evaluated with </p
Performance comparison of the proposed method with state-of-the-art methods on the Wang-B dataset.</...
Performance comparison of the proposed method with state-of-the-art methods on the Caltech-256 datas...
© Springer International Publishing AG 2018. This chapter presents the evaluation of the proposed al...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Performance comparison of the proposed algorithm and 17 existing algorithms using four existing e...
Comparison of MMKE and comparative algorithms in terms of the overall effectiveness (OE).</p
<p>The performance comparison between the proposed algorithm and Hum-mPLoc 2.0.</p
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
Performance comparison of the proposed method with state-of-the-art methods on the Wang-A dataset (v...
<p>Comparison of GGA and MDS method in prediction performance by OLF algorithm.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
Performance comparison of recent and effective algorithms for minimizing error-based cost functions....
Comparing performance of the proposed methods built with different number of individual models.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang 10k dataset....
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang-B dataset.</...
Performance comparison of the proposed method with state-of-the-art methods on the Caltech-256 datas...
© Springer International Publishing AG 2018. This chapter presents the evaluation of the proposed al...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Performance comparison of the proposed algorithm and 17 existing algorithms using four existing e...
Comparison of MMKE and comparative algorithms in terms of the overall effectiveness (OE).</p
<p>The performance comparison between the proposed algorithm and Hum-mPLoc 2.0.</p
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
Performance comparison of the proposed method with state-of-the-art methods on the Wang-A dataset (v...
<p>Comparison of GGA and MDS method in prediction performance by OLF algorithm.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
Performance comparison of recent and effective algorithms for minimizing error-based cost functions....
Comparing performance of the proposed methods built with different number of individual models.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang 10k dataset....
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang-B dataset.</...
Performance comparison of the proposed method with state-of-the-art methods on the Caltech-256 datas...
© Springer International Publishing AG 2018. This chapter presents the evaluation of the proposed al...