Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
In this paper, we focus on the Image Registration problem. Mathematically, this problem consists of minimizing an energy which is composed of a regularization term and a similarit...
Abstract. This paper presents a novel method for photorealistic rendering of the bronchial lumen by directly deriving matched shading and texture parameters from video bronchoscope...
Adrian James Chung, Fani Deligianni, Pallav Shah, ...
Optimistic replication approaches are often employed on mobile devices, which raises the need for reconciliation of concurrently modified data. We propose that three-way merging ...