Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
— Routing policies used in the Internet can be restrictive, limiting communication between source-destination pairs to one path, when often better alternatives exist. To avoid ro...
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
— We consider a multi-user multiple-input single-output (MU-MISO) scenario, where the decentralized users are served by a centralized transmitter with multiple channel inputs via...
Ralf Bendlin, Michael Joham, Josef A. Nossek, Yih-...
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...