We study nonparametric regression between Riemannian manifolds based on regularized empirical risk minimization. Regularization functionals for mappings between manifolds should re...
—Escalating system-on-chip design complexity is the design community to raise the level of abstraction beyond register transfer level. Despite the unsuccessful adoptions of early...
Jason Cong, Bin Liu, Stephen Neuendorffer, Juanjo ...
The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design...
—In this paper we address the problem of scalable and load balanced routing for wireless sensor networks. Motivated by the analog of the continuous setting that geodesic routing ...
Abstract. This paper introduces an outlier rejection and signal reconstruction method for high angular resolution diffusion weighted imaging. The approach is based on the threshold...
Carl-Fredrik Westin, Marc Niethammer, Martha Eliza...