We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Abstract—Modeling parasitic parameters of Through-SiliconVia (TSV) structures is essential in exploring electrical characteristics such as delay and signal integrity (SI) of circ...
Roshan Weerasekera, Matt Grange, Dinesh Pamunuwa, ...
We investigate genre effects on the task of automatic sentence segmentation, focusing on two important domains – broadcast news (BN) and broadcast conversation (BC). We employ a...
—We present CPM, a unified approach that exploits server multicast, assisted by peer downloads, to provide efficient video-on-demand (VoD) in a service provider environment. We...
Vijay Gopalakrishnan, Samrat Bhattacharjee, K. K. ...