1 code implementation • 9 Nov 2019 • Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty
Here, we propose a convolutional neural network-based reconstruction, which enables both accurate and fast reconstruction of parametric maps, and is adaptable based on the needs of spatial regularization and the capacity for the reconstruction.
no code implementations • 30 Aug 2013 • Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar
However, one of the main drawbacks of using the RW algorithm is that its parameters have to be hand-tuned.
no code implementations • 5 Jun 2013 • Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar
However, one of the main drawbacks of using the RW algorithm is that its parameters have to be hand-tuned.