Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objec...
In this paper, we explore bilinear and elastically deformable models for addressing jointly 3-dimensional face and facial expression recognition. An elastically deformable model i...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....
This research concerns the definition of a service-oriented approach for business processes modeling. Business services are reusable process units that contain one or several proc...
Accurate analysis and simulation in multi-hop (sensor, ad hoc, and mesh) networks requires accurate representation of physical layer fading processes. Current models either ignore...