Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
Abstract: We introduce Lifting By Gaussians (LBG), a novel approach for open-world instance segmentation of 3D Gaussian Splatted Radiance Fields (3DGS). Recently, 3DGS Fields have emerged as a highly ...
Abstract: Train timetables play an important role in improving passenger services and transportation efficiency. The arrangement of maintenance windows directly affects the maintenance quality, which ...
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