This paper explores collaborative ability of co-training algorithm. We propose a new measurement (CA) for representing the collaborative ability of co-training classifiers based o...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
Abstract. This paper presents new efficient parallel algorithms for finding approximate solutions to graph coloring problems. We consider an existing shared memory parallel graph...
Assefaw Hadish Gebremedhin, Fredrik Manne, Tom Woo...
2QBF is the problem of evaluating a Quantified Boolean Formula (QBF) with two levels of quantification. Many practical problems in sequential verification can be formulated as i...
This paper describes a technique for re-ordering of scan cells to minimize power dissipation that is also capable of reducing the area overhead of the circuit compared to a random...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cloud, and meshing of an implicit surface. We found that for such applications, t...
Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter ...