In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-r...
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
In previous work on point matching, a set of points is often treated as an instance of a joint distribution to exploit global relationships in the point set. For nonrigid shapes, h...
Due to the increasing abstraction gap between the initial system model and a final implementation, the verification of the respective models against each other is a formidable task...
MultiMap is an algorithm for mapping multidimensional datasets so as to preserve the data's spatial locality on disks. Without revealing disk-specific details to applications...
Minglong Shao, Steven W. Schlosser, Stratos Papado...