Sentence examples for databases demonstrate that the from inspiring English sources
Experimental results using ground-based cloud databases demonstrate that the proposed method can achieve better results than the current methods.
Experiments on the MNIST and CIFAR-10 databases demonstrate that the proposed approaches are comparable with state-of-the-art deep learning architectures in the literature.
The experimental results on six face recognition databases and two object recognition databases demonstrate that the proposed methods outperform the competitors used in the experiments.
Extensive experiments performed on three types of palmprint databases demonstrate that the proposed approach has excellent performance in comparison with previously proposed state-of-the-art approaches.
Experiments on public databases demonstrate that the proposed method achieves promising performance in evaluating traditional distortions, and it outperforms the existing metrics when used for quality evaluation of color-distorted images.
Experimental results on various public face databases demonstrate that the proposed algorithm provides a better feature representation for classification and achieves higher recognition rates compared with several state-of-the-art algorithms.
Comparison of the nucleotide and amino acid sequences with Genebank databases demonstrated that the beta toxin of C. haemolyticum exhibits high homology with other bacterial PLPCs.
Experimental results on LIVE 3D image databases and NBU 3D IQA database demonstrate that the proposed SIQA method is more consistent with human perception.
The recognition results on the TIMIT database demonstrate that the performance of segmental-feature HMM (SFHMM) is better than that of a conventional HMM.
Experimental results conducted on the DBID database demonstrate that the proposed metric is effective in evaluating the quality of deblocked images, and it significantly outperforms the existing metrics.
Experimental results obtained on a public large-scale eye tracking database demonstrate that the proposed method can predict better saliency results for stereoscopic images than other existing ones.
