Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
We present new architectural concepts for uniprocessor designs that conform to the data-driven computation paradigm. Usage of our D2 -CPU (Data-Driven processor) follows the natura...
This paper presents a robust, automated registration algorithm, which may be applied to several types of medical images, including CTs, MRIs, Xrays, Ultrasounds and dermatological ...
We consider the problem of splitting a symmetric positive definite (SPD) stiffness matrix A arising from finite element discretization into the sum of edge matrices thereby assumi...
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...