Pattern Analysis, Statistical Modelling and Computational Learning 2

The PASCAL Network of Excellence has created a distributed institute pioneering principled methods of pattern analysis, statistical modeling, and computational learning as core enabling technologies for multimodal interfaces that are capable of natural and seamless interaction with and among individual human users. The resulting expertise has been applied to problems relevant to both multi-modal interfaces and cognitive systems. The PASCAL2 proposal will enable a refocusing of the Institute towards the emerging challenges created by the ever expanding applications of adaptive systems technology and their central role in the development of large scale cognitive systems. Furthermore, the funding will enable the Institute to engage in technology transfer through an Industrial Club to effect rapid deployment of the developed technologies into a wide variety of applications, while undertaking a brokerage of expertise and public outreach programme to communicate the value and relevance of the achieved results.

Application Area - Human Machine Interaction, Machine Learning
Centre national de la recherche scientifique, Stichting Centrum voor Wiskunde en Informatica, Idiap Research Institute, Jozef Stefan Institute, Max Planck Society for the Advancement of Sciences, Helsinki University of Technology, University College London, University of Edinburgh, Helsingin yliopisto, University of Manchester, University of Bristol, Universite Pierre et Marie Curie-Paris 6, XEROX SAS
Seventh Framework Programme
Mar 01, 2008
Feb 28, 2013