Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
This paper presents a practical method for finding the provably globally optimal solution to numerous problems in projective geometry including multiview triangulation, camera rese...
ng Implementations from Abstraction Functions Derek Rayside, Zev Benjamin, Rishabh Singh, Joseph P. Near, Aleksandar Milicevic and Daniel Jackson Computer Science and Artificial In...
As pair programming is used widely in software engineering education, instructors may wish to proactively form pairs to increase the likelihood of compatible pairs. A study involv...
Abstract—The exact relationship between protein active centers and protein functions is unclear even after decades of intensive study. To improve the functional prediction abilit...