Sentence examples for a challenging data from inspiring English sources

In their study [15], Caputo et al. proposed a challenging data set for material recognition called textures under varying illumination, pose and scale (KTH-TIPS) 2a and a methodology to evaluate it.

In this work, this method is tested on a challenging data set that is used by many other researchers and compared in terms of error rate against different levels of noise, and sparsity.

All this variations make a very challenging data set.

Finding clusters in the high dimensional datasets is an important and challenging data mining problem.

Six of those nine ideas came up in more than one group: 1) having curiosity; 2) thinking creatively, in terms of discovery and conducting experiments; 3) thinking critically, including challenging data through a careful thought process; 4) keeping an open mind and seeking and adapting to new information; 5) being a problem solver; and 6) communicating effectively.

Its applicability to MRI data, comprising four channels: non-enhanced and contrast-enhanced T1w, T2w and FLAIR contrasts, is demonstrated on a challenging clinical data set containing brain tumors (N = 53), where our approach significantly outperforms six commonly used tools with a mean Dice score of 95.19.

The obtained pk value of >0.85 reflects an encouraging result for the analysed challenging data sets.

To address these challenging data properties, we propose a K-Nearest-Neighbor-based Kalman filter for Gaussian process regression (KNN-KFGP).

The method is tested and evaluated on challenging data sets acquired in real home environments.

Considerable performance improvements are shown on challenging data sets, particularly in metrics of identity switches.

We demonstrate that the model framework is capable of reproducing challenging data from experimental investigations in psychophysics and physiology.