Unlabeled Sensing
Event details
| Date | 06.07.2016 |
| Hour | 09:00 › 11:00 |
| Speaker | Golnoosh Elhami |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam
Exam President: Prof. Patrick Thiran
Thesis Director: Prof. Martin Vetterli
Co-examiner: Dr. Olivier Leveque
Background papers
Unlabeled Sensing with Random Linear Measurements, by J. Unnikrishnan, S. Haghighatshoar, M. Vetterli.
FastSLAM: a Factored Solution to the Simultaneous Localization and
Mapping Problem, by M. Montemerlo, S. Thrun, D. Koller, B. Wegbreit.
Making Do with Less: An Introduction to Compressed Sensing, by K. Bryan, T. Leise.
Abstract
Nowadays, information is one of the most expensive resources. Moreover, accessing the correct and complete information about something is not always possible. Thus, reconstruction of data with limited information about it has been always the center of attention in different research areas. Mathematic and in particular linear algebra provide great tools for data recovery with limited
Exam President: Prof. Patrick Thiran
Thesis Director: Prof. Martin Vetterli
Co-examiner: Dr. Olivier Leveque
Background papers
Unlabeled Sensing with Random Linear Measurements, by J. Unnikrishnan, S. Haghighatshoar, M. Vetterli.
FastSLAM: a Factored Solution to the Simultaneous Localization and
Mapping Problem, by M. Montemerlo, S. Thrun, D. Koller, B. Wegbreit.
Making Do with Less: An Introduction to Compressed Sensing, by K. Bryan, T. Leise.
Abstract
Nowadays, information is one of the most expensive resources. Moreover, accessing the correct and complete information about something is not always possible. Thus, reconstruction of data with limited information about it has been always the center of attention in different research areas. Mathematic and in particular linear algebra provide great tools for data recovery with limited
Practical information
- General public
- Free
Contact
- Cecilia Chapuis EDIC