Employing high-resolution libraries in spectral searches leads to better matches and improved results in identifying ...
Researchers have developed a new technology that can shape the spectrum of light emitted from a laser frequency comb across ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that groups image pixels with similar features into distinct clusters. Among various approaches, contrastive ...
As a professional actor, your demo reel is your calling card. It’s often the most important element in getting chosen for an audition or a self-tape. But what makes a reel stand out among the ...
William Parks is a Game Rant editor from the USA. Upon graduating from the University of Southern California’s School of Cinematic Arts, William entered the realm of fine arts administration, ...
Ashely Claudino is an Evergreen Staff Writer from Portugal. She has a Translation degree from the University of Lisbon (2020, Faculty of Arts and Humanities). Nowadays, she mostly writes Fortnite and ...
Abstract: Tensor spectral clustering (TSC) is a recently proposed approach to robustly group data into underlying clusters. Unlike the traditional spectral clustering (SC), which merely uses pairwise ...
Ahead of the November presidential election, just 19% of Americans say democracy in the United States is a good example for other countries to follow, according to a Pew Research Center survey ...
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