Traditionally, statistical models for image auto-annotation have been coupled with image segmentation. Considering the performance of the current segmentation algorithms, it can b...
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
This study proposes a multi-agent modeling and simulation approach using EGGBM (E-Government Group Behavior Model) to research complex group behavior in Egovernment implementation...
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
In this paper, a new information extraction system by statistical shallow parsing in unconstrained handwritten documents is introduced. Unlike classical approaches found in the li...
Simon Thomas, Clement Chatelain, Laurent Heutte, T...