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 ...

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 ...

ABSTRACT: Tai Chi, a mind-body exercise that combines slow, deliberate movements with meditation, is widely practiced to promote health. Studies indicate that the active stretching inherent in Tai Chi ...

Software-as-a-service ecosystem security startup Vorlon Inc. today announced the launch of DataMatrix, a new technology that it claims will open the opaque “black box” of SaaS security. DataMatrix ...

Objectives: Underreporting of occupational diseases (ODs) could be attributed to poor medical accessibility, which is rarely discussed previously. Our cross-sectional study aims to evaluate how OD ...