Person re-identification (re-ID) technology has attracted extensive interests in critical applications of daily lives, such as autonomous surveillance systems and intelligent control. However, light-weight efficient person re-ID solutions are rare because the limited computing resources cannot guarantee accuracy efficiency detecting features, which inevitably results performance bottleneck real...

With the rapid increase of large-scale and real-world person datasets, it is crucial to address problem long-tailed data distributions, i.e., head classes have large number images while tail occupy extremely few samples. We observe that imbalanced distribution likely distort overall feature space impair generalization capability trained models. Nevertheless, this has been rarely investigated in...

the aim of this study was to determine the effect of marker density, level of heritability, number of qtls, and size of training set on the genomic accuracy over three generations. thereby, a trait was simulated with heritability of 0.10, 0.25 or 0.40. for each animal, a genome with 20 chromosomes, 1 morgan each, was simulated. different marker densities (2000, 4000 and 6000 markers) and 400 an...

global health 2035, the report of the lancet commission on investing in health, laid out a bold, highly ambitious framework for making rapid progress in improving global public health outcomes. it showed that with the right health investments, the international community could achieve a “grand convergence” in global health—a reduction in avertable infectious, maternal, and child deaths down to ...