Gwenn Englebienne
Contact Information
Dr Gwenn Englebienne
Tel: +31 20 525 7564 |
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Research Interests
I am interested in Machine Learning in general and Bayesian probabilistic modelling in particular. I am fascinated by how to represent knowledge, manipulate it, and act on it — and how our endeavour to let machines do this tells us something about ourselves. The main focus of my work is on approximative inference in the case of complex models, very large datasets, deep architectures, computer vision, etc.Projects
I have been, or am currently working on the following projects:- NICCAS
- This project focusses on tracking people with widely distributed camera's. It is a cooperation between the UvA and Eaglevision.
- COGNIRON:
- Within the context of the COGNIRON project we have aimed to achieve automatic, non intrusive monitoring of the health state of elderly people, by analysing patterns in simple binary sensor data (such as binary sensors on doors, electric appliances, etc.
Teaching
I teach the Machine Learning: Pattern Recognition master's course at the UvA. This is a 6-credit compulsory course for AI master's students, which provides an intruduction to Machine Learning and Pattern Recognition, with a focus on probabilistic modelling. Subjects covered include Neural Networks, parametric and non-parametric modelling, Graphical Models, Bayesian inference, etc.
Students
I am co-supervising the following PhD students at the moment:Academic Efforts
Publications
2009- G. Englebienne, T. van Oosterhout and B.J.A. Kröse. Tracking in Sparse Multi-Camera Setups using Stereo Vision In Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009) (pdf)
- T.L.M. van Kasteren, G. Englebienne and B.J.A. Kröse. Recognizing Activities in Multiple Homes using Transfer Learning In Proceedings of Advanced School of Computing & Imaging Conference (ASCI'09). Zeewolde, The Netherlands. 2009
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Gwenn Englebienne. Generating lip movements from speech
Ph.D. Thesis (pdf, Dataset)
Winner of the Manchester Computer Science Best Thesis Award, 2009
- Shenghui Wang, Gwenn Englebienne and Stefan Schlobach. Learning Concept Mappings from Instance Similarity. In Proceedings of the 7th International Semantic Web Conference (ISWC2008). Karlsruhe, Germany, October 2008. (pdf)
- Tim van Kasteren and Athanasios K. Noulas and Gwenn Englebienne and Ben J. A. Kröse Accurate Activity Recognition in a Home Setting UbiComp, volume 344 of ACM International Conference Proceeding Series, page 1-9. ACM, (2008)
- Gwenn Englebienne, Tim Cootes and Magnus Rattray A probabilistic model for generating realistic lip movements from speech. Advances in Neural Information Processing Systems (NIPS), December 2007, (pdf, Dataset)
Reviewing activities
I have been reviewing papers for the Machine Learning and Pattern analysis and Machine Intelligence journals, as well as various conferences.Other things
A short CV can be found here. In brief, I started off as an Engineer in Electronics, worked for a few year as an embedded software developer, did another masters in computer science at the University of Manchester where I stayed on for a Ph.D. under the supervision of Magnus Rattray and Tim Cootes. I am now a postdoc researcher in the Intelligent Autonomous Systems (IAS) group at the University of Amsterdam.
GPLed code
- RPC, the reverse polish notation calculator
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This program was written to scratch a long-standing itch of mine, namely that I couldn't find a decent simple calculator for Linux. I've tried a few, and all had aspects I didn't want to live with. (Some require the use of a mouse to access certain functions, some don't allow the easy re-use of the result of the last calculation you did, some don't have undo/redo functionality, etc.) So in the end I wrote this.
It's a console-based, very light-weight calculator using the reverse polish notation for its input, providing a history of the calculations leading up to the latest result, with infinite undo/redo stack, and with edit history.
It's far from perfect and in fact I don't think it's very likely to be liked... But it sucks less than any other simple calculator program out there, including even 'bc -l'. ;-)
The source code of the latest version (0.5.3) is available here [tar.gz][tar.bz2]