Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
In this paper, we explore the problem of mapping filtering services on large-scale heterogeneous platforms. Two important optimization criteria should be considered in such a fra...
Abstract--Two-dimensional interleaving schemes with repetitions are considered. These schemes are required for the correction of two-dimensional bursts (or clusters) of errors in a...
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
We have developed a generic integer linear programming(ILP)based engineering change(EC) methodology. The EC methodology has three components: enabling, fast, and preserving. Enabl...
Farinaz Koushanfar, Jennifer L. Wong, Jessica Feng...