About the MASH project
From MASH Wiki
Massive sets of heuristics
The MASH project is a three-year research initiative to investigate the open and collaborative design of complex priors for Machine Learning.
This project is funded by the Information and Communication Technologies division of the European Commission, Cognitive Systems and Robotics unit, under the 7th Research Framework Program. The sub-project VELASH on object detection is funded by the Swiss National Science Fundation.
Research started in January 2010 and will be carried out until the end of 2012 in Switzerland (IDIAP), France (CNRS and INRIA), Germany (UP) and Czech Republic (CVUT).
Contact francois.fleuret@idiap.ch for more information.
Objectives
The goal of the MASH project is to create new tools for the collaborative development of large families of feature extractors. It aims at starting a new generation of learning software with great prior model complexity.
The project is structured around this web platform. It comprises collaborative tools, such as a wiki-based documentation and a forum, and an experiment center to run and analyze experiments continuously.
The applications targeted by the project are classical vision problems, and goal-planning in a 3D video game and with a real robotic arm.
The scientific issues to be tackled along the course of the project are numerous, from standard machine learning questions such as learning and prediction with very large feature spaces and tight computational constraints, to original problems related to clustering in a functional space.
Consortium
The five institutions members of the project are:
- Idiap Research Institute in Martigny, Switzerland (coordinator).
- Heudiasyc laboratory of CNRS at University of Technology in Compiègne, France.
- University of Potsdam in Potsdam, Germany.
- TAO Group of INRIA in Orsay, France.
- Center for Machine Perception of the Czech Technical University in Prague, Czech Republic.
People
- Abbet, Philip (developer, IDIAP)
- Beinrucker, Andre (PhD student, UP)
- Blanchard, Gilles (researcher, UP)
- Dubout, Charles (PhD student, IDIAP)
- Dubec, Martin (Master Student, CVUT)
- Fleuret, François (researcher, IDIAP)
- Govaert, Gérard (researcher, CNRS)
- Grandvalet, Yves (researcher, CNRS)
- Hoock, Jean-Baptiste (PhD student, INRIA)
- Lefakis, Leonidas (PhD student, IDIAP)
- Liu, Xiao (research engineer, UTC)
- Matas, Jiri (researcher, CVUT)
- Nanchen, Alexandre (developer, IDIAP)
- Sánchez, Luis Francisco (PhD student, UTC)
- Smutny, Vladimir (researcher, CVUT)
- Sochman, Jan (PhD student, CVUT)
- Sokolovska, Nataliya (researcher, TELECOM ParisTech)
- Teytaud, Olivier (researcher, INRIA)