Abstract: In a large-scale data environment, the “curse of dimensionality” of high-dimensional feature spaces and the large amount of noisy data make the efficiency and accuracy of intrusion detection ...
Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...
Abstract: Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a target matrix, which is critically important in collaborative filtering (CF)-based recommender ...
Three scale models of an iconic department store are to go on public display. Jacksons was founded in 1875, and its flagship store in Reading remained open until 2013. Now, scale models of three of ...
Anomaly detection is a crucial task across different domains and data types. However, existing anomaly detection models are often designed for specific domains and modalities. This study explores the ...
This repository provides a reimplementation of the code for Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning (the original code was optimized for our ...
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