In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
In this paper, we propose an effective algorithm flow to handle largescale mixed-size placement. The basic idea is to use floorplanning to guide the placement of objects at the gl...
Power consumption is a troublesome design constraint for emergent systems such as IBM’s BlueGene /L. If current trends continue, future petaflop systems will require 100 megawat...