Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
A constraint satisfiability problem consists of a set of variables, their associated domains (i.e., the set of values the variable can take) and a set of constraints on these vari...
We conducted an empirical study to better understand collaborative information visualization. We found that a system that offered fewer options for visualizations yielded more cor...
We present a formulation of retiming to minimize the number of registers in a design by iterating a maximum network flow problem. The retiming returned will be the optimum one whi...
Aaron P. Hurst, Alan Mishchenko, Robert K. Brayton
Modern algorithms for the SAT problem reveal an almost tractable behavior on “real-world” instances. This is frequently contributed to the fact that these instances possess an ...