Sentence examples for difficult datasets from inspiring English sources

VIPeR [10] (Viewpoint Invariant Pedestrian Recognition) is a standard dataset for person re-identification problem and is considered as one of the most difficult datasets.

On other such difficult datasets we have tried, very similar results were found (see [6] for depictions of shiny and shadowed datasets).

In general, in terms of performance, wavelet-based techniques exhibit a trend similar to that of other techniques where high accuracies are reported on private datasets while the publicly available and more difficult datasets still offer a number of challenges.

Our study illustrates how multigene sequences can be used to disentangle the evolutionary history of agamic complexes or similarly difficult datasets.

The cross-validation results show the viability of our modelling approach on a difficult dataset (CHEN11), and the evaluation of the final model on the remaining datasets attests the generalization ability and applicability of our software out of the box.

For example, while CRM1 took in average 8 seconds to solve the most difficult dataset having 10 SNPs, CRM2 took in average at least 10 seconds independently from the error ratio, and even longer on instances 03, 05, 06, 08 and 11 of dataset 50×10r4 where 19.657, 62.160, 34.429, 40.416, and 15.974 seconds, respectively, were needed to find the optimum.

Hence, it appears that GHeat is a more difficult dataset to impute.

For a less difficult dataset, we ran the algorithm on all clusters contained in more than one input tree.

We recall that GSE6988 is the most difficult dataset, due to size (123 samples) and comprehensiveness in terms of subtypes and stages of progression.

A high rate of similarity between the contacts for decoys and active compounds meant that the coulomb contact subtree represented a difficult dataset for scoring.

However, a direct comparison of the results of these studies is quite difficult since datasets, used to build and validate the various models, exhibit different characteristics, reflecting local variations in data collection and reporting practices.