Sentence examples for datasets demonstrate that this from inspiring English sources

Results on MNIST, CIFAR-10 and UCI datasets demonstrate that this approach provides competitive results even though no problem-specific tuning is used.

The experimental results on five benchmark datasets demonstrate that the proposed approach outperforms several state-of-the-art works.

Experiments performing the clustering and classification on time series datasets demonstrate that the performance of the proposed method outperforms PVQA.

Experiments conducted on real datasets demonstrate that the attack is both accurate and resilient to sanitization mechanisms.

Also, the test results of the forest datasets demonstrate that the mean errors of the proposed algorithm are compatible with those from other algorithms.

Experimental results on benchmark datasets demonstrate that the proposed method achieves an improved performance compared to state-of-the-art features.

Experimental results on two public infrared spectra datasets demonstrate that the proposed EDSPLS provides superior predictive power and outperforms the conventional PLS method.

Extensive experiments on the AR, CMU PIE, FERET, and FRGC datasets demonstrate that the proposed framework can achieve superior recognition performance than several state-of-the-art methods.

Results on multiple datasets demonstrate that the proposed feature representation outperforms existing motion features, and importantly it does so independently of the classifier.

The experimental results with five public tumor datasets demonstrate that the proposed SODP is quite efficient and feasible for tumor classification.

Experiments on CUHK01, CUHK03, Market-1501, and DukeMTMC-reID datasets demonstrate that the proposed model outperforms the compared state-of-the-art methods in most cases.