We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as...
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rot...
This investigation proposed a service-oriented approach based on a pervasive learning grid for solving the difficulties associated with sharing learning resources distributed on d...
In this paper we describe a methodology that emerged during a healthcare project, which consisted among others in grouping information from heterogeneous and distributed informati...
Nicolae B. Szirbik, C. Pelletier, Thierry J. Chaus...
As computing technology has increasingly become relevant to people's everyday lives, emphasis is being placed on ensuring Computer Assisted Learning (CAL) tools support users ...
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...