November 2017

Sun Mon Tue Wed Thu Fri Sat
29
30
31
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2
3
4
 
 
 
 
02/11/2017 - 14:00 to 15:00
 
 
 
5
6
7
8
9
10
11
 
 
07/11/2017 - 12:00 to 13:00
 
08/11/2017 - 09:30 to 10/11/2017 - 17:00
 
08/11/2017 - 10:00 to 15:00
 
08/11/2017 - 09:30 to 10/11/2017 - 17:00
 
 
12
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14
15
16
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18
 
 
 
15/11/2017 - 14:00 to 16:00
 
16/11/2017 - 09:00 to 16:00
 
17/11/2017 - 12:00 to 14:00
 
17/11/2017 - 15:00 to 17:00
 
 
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22
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25
 
 
21/11/2017 - 09:00 to 22/11/2017 - 17:00
 
21/11/2017 - 09:00 to 22/11/2017 - 17:00
 
 
24/11/2017 - 10:30 to 12:00
 
 
26
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29
30
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30/11/2017 - 15:00 to 16:00
 
 
 

Events

01/02/2018 - 14:00

Speaker: Dr. Joan Duran, Universitat de les Illes Balears, Department of Mathematics and Computer Science
Title: Collaborative Regularization Approaches in Multi-Channel Variational Imaging: Theory, Applications and Perspectives

Information: When dealing with color imaging problems, one of the main issues is how to couple channels in order to enable joint directions of smoothing. We propose to consider the gradient of a multi-channel image as a tensor, the smoothness of which is measured by taking different norms along the different dimensions (pixels, derivatives, channels). The resulting regularization framework is called collaborative total variation (CTV). We analyze theoretical properties of a large number of CTV models and show which of them are best suited for image denoising and other inverse problems. This has been a project in collaboration with Prof. Daniel Cremers from the Technical University of Munich and Prof. Michael Moller from the University of Siegen.

Dates for seminars: (30.01 (Tuesday) at RAL and) 1 February 2018 (Thursday) 2pm at Frank Adams 2, Alan Turing Building, University of Manchester. 

30/01/2018 - 14:00

Speaker: Dr. Joan Duran, Universitat de les Illes Balears, Department of Mathematics and Computer Science
Title: Collaborative Regularization Approaches in Multi-Channel Variational Imaging: Theory, Applications and Perspectives

Information: When dealing with color imaging problems, one of the main issues is how to couple channels in order to enable joint directions of smoothing. We propose to consider the gradient of a multi-channel image as a tensor, the smoothness of which is measured by taking different norms along the different dimensions (pixels, derivatives, channels). The resulting regularization framework is called collaborative total variation (CTV). We analyze theoretical properties of a large number of CTV models and show which of them are best suited for image denoising and other inverse problems. This has been a project in collaboration with Prof. Daniel Cremers from the Technical University of Munich and Prof. Michael Moller from the University of Siegen.

The proposed dates for seminars: 30.01 (Tuesday) at AVF RAL 2pm (and 01.02 (Thursday) at Manchester) 

29/01/2018 - 10:00
22/01/2018 - 10:00

The 16th annual Bath-RAL NA Day will be held on Monday 22nd January at the Rutherford Appleton Laboratory. The speakers are:

Nick Gould (RAL)
Euan Spence (Bath)
Tim Davis (Texas A&M)
Sheehan Olver (Imperial)
Daniil Kazantsev (Manchester) - CCPi Flagship!
Sergey Dolgov (Bath)

Coffee will be available from 10.15am and the talks start at 10.50am; the full programme is available at http://www.numerical.rl.ac.uk/bath-ral/

All are welcome, and there is no registration fee for attendance.  Please register with Tyrone Rees (tyrone.rees@stfc.ac.uk) so that security passes can be arranged to allow you onto the RAL site.

22/01/2018 - 10:00

Application deadline is 15th November 2017.

The course is designed for Post graduates and ECRs but is open to all. NERC funded students get priority but if spaces are left over, non-NERC applicants are considered. The primary focus will be centred around image analysis through a series of interactive lectures and practical sessions using the participant’s own data concerning computation of morphological parameters (porosity, tortuosity, connectivity, surfaces and others) . Each day is designed to build on the previous day’s knowledge and will end with a hackathon to draw on the key areas delivered throughout the week. Aspects of the course will be taught by leading external researchers as well as a range of NHM experts.

It is a 4-day course, fully funded by NERC. All expenses are covered to ensure little/no cost to the course delegates. There are a total of 15 places available. For further information on the course, its contents and associated learning outcomes, please visit the link below, where you will also find the course application form:

http://www.nhm.ac.uk/our-science/courses-and-students/short-course-featu...

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