A high-performance Rust-based nonlinear least squares optimization library designed for computer vision applications including bundle adjustment, SLAM, and pose graph optimization. Built with focus on ...
Abstract: Spectral graph sparsification aims to find ultra-sparse subgraphs whose Laplacian matrix can well approximate the original Laplacian eigenvalues and eigenvectors. In recent years, spectral ...
Abstract: In wave equation modeling, wavefields propagating over time can be regarded as feedforward in a recurrent neural network (RNN). Therefore, the seismic inversion problem based on partial ...
UP Police SI Syllabus 2026 covers four sections: General Hindi, General Knowledge/Law & Constitution, Numerical & Mental Ability, and Reasoning/IQ. This article provides detailed section-wise syllabus ...
For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...
Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this study, the synergies of GCN and LSTM are leveraged to ...
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