Prof. Mark Plumbley, Centre for Vision, Speech and Signal Processing, University of Surrey, UK.
Dr Helen Cooper, Centre for Vision, Speech and Signal Processing, University of Surrey, UK.
The spring school is now over, thank you to all who attended and who made the event a great success, looking forward to seeing you all at future MacSeNet and SpaRTaN events
The SpaRTaN-MacSeNet Spring School on Sparse Representations and Compressed Sensing Spring School will be of interest to graduate students, researchers and industry professionals working in this fast moving and exciting area. The five day school is split into two components, during three days, a panel of experts will offer lectures and tutorials covering the theory of sparse representations, compressed sensing and related topics, and applications of these methods in areas such as image processing, audio signal processing, and signal processing on graphs. The remaining two days will be devoted to software carpentry, giving researchers the computing skills they need to get more done in less time and with less pain
The SpaRTaN-MacSeNet Spring School on Sparse Representations and Compressed Sensing is organized and sponsored by the SpaRTaN (Sparse Representations and Compressed Sensing Training Network) Marie Curie Initial Training Network (ITN) and the MacSeNet (Machine Sensing Training Network) Marie Sklodowska-Curie Action Innovative Training Network (ITN). Non-project members will need to cover the cost of their own meals and accommodation.
MacSeNet is funded under the H2020-MSCA-ITN-2014 call and is part of the Marie Sklodowska-Curie Actions — Innovative Training Networks (ITN) funding scheme: Project number - 642685
SpaRTaN is funded under the FP7-PEOPLE-2013-ITN call and is part of the Marie Curie Actions — Initial Training Networks (ITN) funding scheme: Project number - 607290
The spring school is being hosted by Fraunhofer IDMT in Ilmenau. Further details of accomodation and local arrangements are available in the briefing pack. As a warning very few places in Ilmenau take credit cards but we have located some ATM/Cash points which take Visa.
Be sure to check out the software carpentry event page before you come to Ilmenau. You will need to prepare your laptop with some basic software to take part in the course and there's a pre-course survey so we know what level everyone is before we start.
The subject of your poster will depend on how far through your PhD you are:
If you've just started then your poster will be a project proposal with some background (literature review) on common techniques in the field you're working in.
If you're further on in your studies then you can pick the topic of your current work or a recently published paper.
The boards are portrait with size : 70x100cm so they should fit A1 (or a bit larger).
There are lots of resources on the web for how best to design a poster I've collected a few here but do take a look around yourself and if you find any other nice tutorials please let us know so we can share them:
University of Leicester's 20 min tutorial Berkley's how to design a poster slides A nice blog post covering the same as the above for those who like the texty approach
The spring school had a wide range of attendees, they're listed here so that you can remind yourself of names or verify spellings!
Jakob Abesser Fraunhofer IDMT
Alain Alahi VisioSafe
Ines Axthelm Fraunhofer IDMT
Dmitry Babichev Institut National de Recherche en Informatique et en Automatique (INRIA)
Francis Bach Institut National de Recherche en Informatique et en Automatique (INRIA)
Wajiha Bano University of Edinburgh
Arnold Benjamin University of Edinburgh
Dave Betts CEDAR
Karlheinz Brandenburg Fraunhofer IDMT
Evgeny Burnaev Institute for Information Transmission Problems, Russian Academy of Sciences
Christos Chatzichristos Computer Technology Institute (Greece)
Helen Cooper University of Surrey
Cristóvão Cruz Tampere University of Technology/Noiseless Imaging Oy
Dhritiman Das Technical University Munich
Mike Davies University of Edinburgh
Giovanni Del Galdo Technical University Ilmenau
Karen Egiazarian Noiseless Imaging Oy
Mario Figueiredo Instituto de Telecomunicações
Oleg Golokolenko Fraunhofer IDMT
Sascha Grollmisch Songquito
Stylianos Ioannis Mimilakis Fraunhofer IDMT
Jan Kirckhof TU Ilmenau
Eleftherios Kofidis Computer Technology Institute (Greece)
Yannis Kopsinis Computer Technology Institute (Greece)
Fabian Kring TU Ilmenau
Joshin Krishnan Instituto de Telecomunicações
Sacha Krstulovic Audio Analytic
Mateusz Kuzak Netherlands eScience Centre (Software Carpentry Instructor)
Guillaume Laurent CNRS
Marina Ljubenovic Instituto de Telecomunicações
Hanna Lukashevich Fraunhofer IDMT
Ian Marshall University of Edinburgh
Volodymyr Miz Ecole Polytechnique Fédérale de Lausanne (EPFL)
Manuel Morante Computer Technology Institute (Greece)
Amirafshar Moshtaghpour Université Catholique de Louvain
Milad Niknejad Instituto de Telecomunicações
Thibault Notargiacomo CNRS GIPSA-Lab & Thales TED
Cian O'Brien University of Surrey
Rodrigo Pena Ecole Polytechnique Fédérale de Lausanne (EPFL)
Konstantinos Pitas Ecole Polytechnique Fédérale de Lausanne (EPFL)
Mark Plumbley University of Surrey
Lucas Rencker University of Surrey
Florian Romer TU Ilmenau
Enrique Sánchez-Monge Noiseless Imaging Oy
Gerald Schuller Fraunhofer IDMT
Damien Scieur Institut National de Recherche en Informatique et en Automatique (INRIA)
Sebastian Semper TU Ilmenau
Youngjoo Seo Ecole Polytechnique Fédérale de Lausanne (EPFL)
Thomas Sgouros Democritus University of Thrace
Aleksei Sholokhov University of Eastern Finland & ITMO University
Tatiana Shpakova Institut National de Recherche en Informatique et en Automatique (INRIA)
Iwona Sobieraj University of Surrey
Jens Steinwandt TU Ilmenau
'Billy' Junqi Tang University of Edinburgh
Stefanie Theiss Fraunhofer IDMT
Tim Tröndle Younicos (Software Carpentry Instructor)
Christos Tzagkarakis Delft University of Technology
Cagdas Ulas Technical University Munich
Mark van Heeswijk Aalto University School of Science
Pierre Vandergheynst Ecole Polytechnique Fédérale de Lausanne (EPFL)
Christoph Wagner TU Ilmenau
Wenwu Wang University of Surrey
Ahmad Warda TU Ilmenau
Zhongwei Xu Noiseless Imaging Oy
Alfredo Zermini University of Surrey
Lina Zhuang Instituto de Telecomunicações
The first 2 days will be devoted to Software Carpentry. Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. Take a look at the event page to find out more.
Lectures and tutorials covering the theory of sparse representations, compressed sensing and related topics, and applications of these methods in areas such as image processing, audio signal processing, and signal processing on graphs.
The poster session is there to give delegates a chance to discuss their own work with their peers and the speakers.
Weds 6th April |
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09:00 | Gerald Schuller (Fraunhofer IDMT) | Neural Networks and Sparse Coding from the Signal Processing Perspective Slides (pdf) | Python Examples (zip) |
11:00 | Break | |
11:30 | Francis Bach (INRIA) | large-scale optimization Slides (pdf) |
12:30 | Francis Bach (INRIA) | Probabilistic modelling Slides (pdf) |
13:30 | Lunch | |
14:30 | Mike Davies (University of Edinburgh) | Compressed sensing theory Slides (pdf) |
15:30 | Mike Davies (University of Edinburgh) | Compressed sensing theory extensions Slides (pdf) |
16:30 | Break | |
17:00 | Sacha Krstlovic (Audio Analytic) | Audio Event detection in an Industrial Environment |
18:15 | Dinner | |
Thurs 7th April |
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09:00 | Jakob Abesser (Fraunhofer IDMT) | Instrument centered parameter estimation and sound synthesis |
10:00 | Wenwu Wang (University of Surrey) | Sparse representation and dictionary learning for source separation, localisation and tracking Slides (pdf) |
11:00 | Break | |
11:30 | Ian Marshall (University of Edinburgh) | Compressed sensing in MRI Slides (pptx) |
12:30 | Giovanni Del Galdo (TU Ilmenau) | Compressed sensing theory: geometric interpretations Slides (ppsx) |
13:30 | Lunch | |
14:30 | Poster Session | |
16:30 | Keynote: Prof. Karlheinz Brandenburg IDMT | |
18:00 | Dinner | |
Fri 8th April |
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09:00 | Mario Figueiredo (Instituto de Telecomunicações) | Convex Optimization in Inverse Problems and Machine Learning Slides - Part 1(pdf) | Slides - Part 2(pdf) | Slides - Part 3(pdf) |
11:00 | Break | |
11:30 | Karen Egiazarian (Noiseless Imaging) | Image denoising and enhancement Slides (pdf) |
13:30 | Lunch | |
14:30 | Pierre Vandergheynst (EPFL) | Graph Signal Processing Slides (pdf) |
17:00 | End |