Abstract: In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs a graph ...

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

(with simplistic GUI interface, rendered using ImGui). That's quite unprofessional of me to say, but sorry if it doesn't build correctly (if at all). I'm quite new to premake and in general making the ...

Graphs are a useful way to show numerical data. There are a variety of graphs that can help highlight patterns and be used to reach conclusions in geography. Choosing the right graph is very important ...

A minimalistic and customizable graph card for Home Assistant Lovelace UI. The card works with entities from within the sensor & binary_sensor domain and displays the sensors current state as well as ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2020. Mammalian cells contain only one glycosyltransferase, OGT, that ...

Cummins has been a headline sponsor of a number of STEMFest events, delivered around the North East and North Yorks by ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Antidifferentiation is the reverse of differentiation. It is a fundamental concept in calculus and is essential in solving problems related to area, motion, and accumulation. Use this page to revise ...