In a visualization system, one of the key issues is to optimize performance and visual fidelity. This is especially critical for large virtual environments where the models do not...
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Suitability of the next generation of high-performance computing systems for petascale simulations will depend on a balance between factors such as processor performance, memory p...
Subhash Saini, Dennis C. Jespersen, Dale Talcott, ...
Several approaches have been proposed to accelerate the NP-complete Boolean Satisfiability problem (SAT) using reconfigurable computing. We present an FPGA based clause evaluator,...
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...