Continuing improvements in semiconductor density are enabling new classes of System-on-a-Chip architectures that combine extensive processing logic and high-density memory. Many o...
David L. Landis, Paul T. Hulina, Scott Deno, Luke ...
In data fusion, score normalization is a step to make scores, which are obtained from different component systems for all documents, comparable to each other. It is an indispensabl...
New optimization techniques, e. g., in data stream management systems (DSMSs), make the treatment of disjunctive predicates a necessity. In this paper, we introduce and compare me...
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
BLASTn is a tool universally used by biologists to identify similarities between nucleotide based biological genome sequences. This report describes an FPGA based hardware impleme...