There are numerous models of varying complexities which seek to efficiently represent the voice source signal. These models are typically based on data and observations which can...
This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining th...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
A high-precision navigation system for Anterior Cruciate Ligament(ACL) reconstruction surgery is presented. In this system, 3D CT data is used to visualize the structure of bones a...
A framework for photo-realistic view-dependent image synthesis of a shiny object from a sparse set of images and a geometric model is proposed. Each image is aligned with the 3D m...
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...