Sentence examples for robustness of representation from inspiring English sources

In summary, thus, the network connectivity increases the robustness of representation of rotational optic flow and increases the neurons' selectivity over translational optic flow.

To ensure the robustness of feature representation, the most salient LBP descriptor [14] is proposed as the following steps.

The spatial information is incorporated into the observation model to improve the robustness of object representation by dividing the object to be tracked into a number of fragments.

Overall performance: The proposed approach shows better overall performance than others due to the robustness of sparse representation on both object detection and validation.

With the help of the denoising coding, partial corruption is added into the input of the SAE to improve robustness of feature representation.

In order to improve the robustness of object representation, spatial information is incorporated into the observation model by dividing the object to be tracked into a number of fragments.

Comparative experimental results on the GT and LFW databases were provided to show the robustness of the representation approach under usually experimented-on problems and then on the rhytidectomy plastic surgery database.

(3) Mapping from original image to local skewness image, an object with lower SNR achieves a higher object contrast C, whereas an object with higher SNR obtains a lower object contrast C, thus the robustness of object representation is improved, especially in case of the object with a large SNR fluctuation.

With temporal modulation frequencies between 16 and 25 Hz, HTM consistently outperformed the remaining ones in every condition, highlighting the robustness of these representations against channel distortions, low signal-to-noise ratios and acoustically challenging real-life scenarios with relative improvements from 11 to 56% against a Mel-filterbank-DNN baseline.

The regulation of mitral cell population activity by feedback circuits involving AMPA/kainate receptors may therefore contribute to the robustness of odor representations against changes in stimulus intensity.

It has been argued that the robustness of these representations can explain their automatic activation even in a passive listening setting, where attention is not focused on the verbal input (Garagnani et al. 2008, 2009; Shtyrov et al. 2010).