Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse respo...
In inter-subject registration, one often lacks a good model of the transformation variability to choose the optimal regularization. Some works attempt to model the variability in a...
Xavier Pennec, Radu Stefanescu, Vincent Arsigny, P...
This paper presents a new approach to 3D shape comparison and retrieval based on the computation of Gaussian transforms of the surface model on a set of points regularly distribut...
When thinking of MDE, the immediate understanding is that models drive software development, in the at the software is constructed by transforming models from higher levels of abs...
Abstract: We introduce a unified framework to describe, relate, compare and classify functional language implementations. The compilation process is expressed as a succession of p...