We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
Due to the tremendous increase rate and the high change frequency of Web documents, maintaining an up-to-date index for searching purposes (search engines) is becoming a challenge...
Odysseas Papapetrou, Stavros Papastavrou, George S...
Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these...
Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, An...
In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...
NAMD is a scalable molecular dynamics application, which has demonstrated its performance on several parallel computer architectures. Strong scaling is necessary for molecular dyn...