The global method we focus on, is called 'stochastic homogenization'.
To validate our method, we focus on a marketed wired road sensor.
For the hierarchical sequence method, we focus on the utility of the network.
In the proposed method, we focus on this criterion and realize inpainting that maximizes the SSIM index.
In the proposed method, we focus on the speed of the whole system; therefore, we make a compromise between accuracy and efficiency.
To validate the method we focus on explanations of "crossing the road" events for the reason that this event is common in both of our test datasets.
To demonstrate this method we focus on the minimal incarnation of DMFT, the so-called 'two-site' DMFT [32], where the impurity model consists of one impurity site and only one bath site, both with local Hilbert space dimension four, subjected to two specially chosen self-consistency conditions.
To develop our computational method we focused on IM-MS data and crystal structures for four different protein complexes.
To assess the utility of our method, we focused on the 32 known SNPs between B6 and D2 in probes of the 100 most significant putative cis eQTLs.
