Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
We study the forward and backward substitution phases of a sparse multifrontal factorization. These phases are often neglected in papers on sparse direct factorization but, in man...
Patrick Amestoy, Iain S. Duff, Abdou Guermouche, T...
Abstract. An active area of research in computer science is the prevention of violations of object protocols, i.e., restrictions on temporal orderings of method calls on an object....
In modern computer systems loops present a great deal of opportunities for increasing Instruction Level and Thread Level Parallelism. Loop unrolling is a technique used to obtain ...