Abstract: This paper proposes and analyzes a gradient-type algorithm based on Burer-Monteiro factorization, called the Asymmetric Projected Gradient Descent (APGD), for reconstructing the point set ...
For the Visualize section, currently we do a random sampling of points, and pull them along with their vectors. Afterwards we process them all in the browser, depending on their dimensionality ...
Location-driven applications continue to grow in complexity as businesses rely more heavily on real-time data, routing logic, and precise geospatial calculations. Whether it’s a delivery platform ...
Background: Early adoption of PCSK9 monoclonal antibodies and small-interfering RNA therapies depends on clinical-trial access. Yet communities with the highest cardiovascular burden—often ...
Over 5.6 million people in the U.S. live in a pulmonology desert, according to new research from GoodRx, a platform for medication savings. People who live in these deserts lack adequate access to ...
Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...
Travel time is no longer just a number on a map-it's a core functionality driving user experience in everything from ride-hailing apps and logistics platforms to event planning... Travel time is no ...
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