Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...
There are many applications for computer vision where a scene observed contains a wide range of brightness. Often, the low dynamic range of a camera limits the accuracy of informa...
Tracking people within a scene has been a longstanding challenge in the field of computer vision. A common approach involves matching the background against the incoming video str...
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Many computational tools have recently begun to benefit from the use of the symmetry inherent in the tasks they solve, and use general-purpose graph symmetry tools to uncover this...