Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
— We consider a dense wireless sensor network where the radio transceivers of the sensor nodes are heavily duty-cycled in order to conserve energy. The chief purpose of the senso...
Single Display Groupware (SDG) lets multiple co-located people, each with their own input device, interact simultaneously over a single communal display. While SDG is beneficial, ...
Edward Tse, Jonathan Histon, Stacey D. Scott, Saul...
This paper proposes Noise-Direct, a design methodology for power integrity aware floorplanning, using microarchitectural feedback to guide module placement. Stringent power constr...
Fayez Mohamood, Michael B. Healy, Sung Kyu Lim, Hs...
Background: Peptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since cos...