Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...
We applied frequency analysis to identify the cause of floating artifacts in 3D Gaussian Splatting (3DGS) and designed a novel approach, Eliminating-Floating-Artifacts Gaussian Splatting (EFA-GS), to ...
Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...
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