We present an efficient, fully automated algorithm to assemble ESTs into full-length cDNA sequences that represent the complete coding regions of a gene. Our EST clustering algori...
Arthur Grossman, Charles Hauser, Hilary J. Holz, J...
As frequencies and feature size scale faster than operating voltages, power density is increasing in each processor generation. Power density and the cost of removing the heat it ...
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-s...