This paper presents work in progress to explore the possibility of combining model-driven and domain modeling techniques to facilitate support for reuse and automation. The approa...
Abstract. Inspired by the early visual system of many mammalians we consider the construction of-and reconstruction from- an orientation score Uf : R2 ×S1 → C as a local orienta...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
This paper presents a signed distance transform algorithm using graphics hardware, which computes the scalar valued function of the Euclidean distance to a given manifold of co-di...
This paper investigates the use of the anisotropic 3-D dualtree discrete wavelet transform (DDWT) for video coding. The 3-D DDWT is an attractive video representation because it i...