Large Scale Variational Bayesian Inference and its Application to MRI
Event details
| Date | 05.10.2011 |
| Hour | 10:00 |
| Speaker | Mr Young Jun Ko |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam:
Exam president: Prof. Pierre Vandergheynst
Thesis director: Prof. Matthias Seeger
Co-examiner: Prof. Volkan Cevher
Research Proposal
Compressed Sensing MRI by Michael Lustig et al.
Convex Variational Bayesian Inference for Large Scale Generalized Linear Models by Hannes Nickisch and Matthias W. Seeger
Parallel MR Image Reconstruction using Augmented Lagrangian Methods by Sathish Ramani and Jeffrey A. Fessler
Exam president: Prof. Pierre Vandergheynst
Thesis director: Prof. Matthias Seeger
Co-examiner: Prof. Volkan Cevher
Research Proposal
Compressed Sensing MRI by Michael Lustig et al.
Convex Variational Bayesian Inference for Large Scale Generalized Linear Models by Hannes Nickisch and Matthias W. Seeger
Parallel MR Image Reconstruction using Augmented Lagrangian Methods by Sathish Ramani and Jeffrey A. Fessler
Practical information
- General public
- Free
Contact
- Evelyn Duperrex