Advanced Reconstruction and Automatic Calibration of Magnetic Resonance Acquisitions by Large Scale Approximate Bayesian Inference
Event details
| Date | 03.09.2012 |
| Hour | 15:30 |
| Speaker | Mr. Nikolaos Arvanitopoulos Darginis |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam:
Exam president: Prof. Pascal Fua
Thesis director: Prof. Matthias Seeger
Co-examiner: Prof. Mark Pauly
Research Proposal
Separate Magnitude and Phase Regularization via Compressed Sensing, by Feng Zhao, Douglas C. Noll, Jon-Fredrik Nielsen and Jeffrey A. Fessler.
Convex Variational Bayesian Inference for Large Scale Generalized Linear Model, by Hannes Nickish and Matthias W. Seeger.
Variational Heteroscedastic Gaussian Process Regression, by Miguel Lazaro-Gredilla and Michalis K. Titsias.
Exam president: Prof. Pascal Fua
Thesis director: Prof. Matthias Seeger
Co-examiner: Prof. Mark Pauly
Research Proposal
Separate Magnitude and Phase Regularization via Compressed Sensing, by Feng Zhao, Douglas C. Noll, Jon-Fredrik Nielsen and Jeffrey A. Fessler.
Convex Variational Bayesian Inference for Large Scale Generalized Linear Model, by Hannes Nickish and Matthias W. Seeger.
Variational Heteroscedastic Gaussian Process Regression, by Miguel Lazaro-Gredilla and Michalis K. Titsias.
Practical information
- General public
- Free
Contact
- Evelyn Duperrex