They will cause the auto exposure algorithm to reduce the exposure compared to a dark surround – reducing the number of saturated patches. The surround will slightly increase the flare light, but this isn’t necessarily bad because the resulting image will be more representative of typical scenes...
To cope with the uncertainties of frequent disturbances in urban rail networks, this paper proposes a robust train regulation strategy based on the information gap decision theory, which allows the operators to adjust the conservativeness of adjustment schemes flexibly by varying system performances but ...
[ 12 ]. to address the limits of dimensionality reduction methods, like pca and tsne, we recently adopted the nonlinear dimensionality reduction algorithm, elastic embedding (ee) [ 13 ], to accurately visualize and reconstruct the embedded intrinsic latent space of cell development trajectory[ 14 ...
Compared to a naive use of the DP algorithm, our reduction to the LIS problem allows us to solve the problems asymptotically faster by an almost linear factor. The drawback of our reduction is its space-inefficiency. The DP algorithm (with Hirschberg’s divide-and-conquer technique [9]) ...
The gap somewhat increases with depth. This confirms the accuracy of the proposed frictional algorithm. The computed end bearing profiles from both methods are in good agreement with the measured data over the full penetration depth although the general contact method provides deeper penetration depth ...
Examples include theNeedleman-Wunsch algorithmin which the basic flow of the algorithm resembles the Smith-Waterman closely. However, the initialization, insertion, and gap penalties are calculated differently between these two approaches. Algorithms likePartial Order Alignmentmake dense use of cel...
[25] devised the high-dimensional kNNJoin+algorithm to dynamically update new data points, enabling incremental updates on kNN join results. But because it was a disk-based technique, it could not meet the real-time needs of real-world applications. Further work by Yang et al. [26] ...
which parses the research goals and requests the iterations needed to achieve the objectives. The iterating component collects prior information about the design space and passes it on to the component that designs the next experiment. The algorithm employed, as well as the availability of prior ...
In this section, we aim to choose the global largest k gradients for sparsification as Global Top-k SGD based on the flow of Algorithm 1, so that it can obtain good performance as Global Top-k SGD without losing the advantage of the pipeline of Layer-wise Top-k SGD implementation. At ...
The movie rental firm Netflix, for example, ran a 3-year contest for improving the accuracy of its movie recommendation algorithm by more than 10%, with the winner retaining ownership of the solution, apart from a compulsory free license to Netflix. Over 51,000 contestants from 186 ...