Surprisingly, even for the weak information case, proportional allocation scheme could achieve similar performance to that for strong information case.
The retrieved image S has a high PSNR=29.62, but it has obviously lost the weak information with SSIM=0.82.
However, the puzzling data emerged from clinical, epidemiological and experimental studies have added several dimensions of complexity; the current landscape is inherently limited to the weak information on the influence and interdependence of endocrine, paracrine and autocrine regulation in the retina, but also in the brain.
Pattern analysis considers the pattern of activation across multiple voxels, and this allows weak information at each voxel to be accumulated such that voxels that do not carry information individually can do so when jointly analyzed (Haynes and Rees 2006).
We performed more analyses to assess the sensitivity of the results to different prior distributions representing weak information (i.e. non-informative prior) relative to the trial data, and the results remained robust.
The results from this study indicates that a weak health system, including weak information systems, discontinuity of care, unsupported health workers and limited referral and accountability mechanisms, has implications for the ability to prevent maternal mortality among women seeking care during delivery in this setting.
We speculate that the increased long-range FCD observed in bilateral thalami in this study may be a manifestation of the compensatory effect of thalamic connectivity because of the weaker information processing function of the thalamus in DISC1 Cys-allele carriers compared with Ser homozygotes, with more thalamic functional connectivity required to achieve the same behavioral output.
In those ways, it is more difficult to distinguish weak information from strong noise.
Our algorithms show good balancing performance with fast enough convergence speed in both strong and weak information cases2.
In tradition, an affinity graph of superpixels is constructed to strengthen weak information by leveraging the neighbors from the perspective of image-level labels.
The use of weak information (mostly coming from literature or other model applications) should be avoided because it can lead to wrong estimations of uncertainty in modelling results.
