In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xil...
Unobtrusive capturing of program execution traces in real-time is crucial in debugging cyber-physical systems. However, tracing even limited program segments is often cost-prohibi...
Vladimir Uzelac, Aleksandar Milenkovic, Martin Bur...
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Abstract. [Context and motivation] With increasing use of software, quality attributes grow in relative importance. Robustness is a software quality attribute that has not received...
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...