Wide-area networks provide an easy access to many different distributed and heterogeneous data sources. The development of automated operating tools is still complex, particularly...
Jean-Paul Arcangeli, Sebastien Leriche, Marc Pante...
This paper describes a method to optimize the performance of data paths. It is based on bit-level arithmetic transformations, and is especially suited to optimize large adder stru...
Luc Rijnders, Zohair Sahraoui, Paul Six, Hugo De M...
The standard methods for extracting range data from optical triangulation scanners are accurate only for planar objects of uniform reflectance illuminated by an incoherentsource....
of this paper is to prevent the abstract data type researcher from an improper, naive use of category theory. We mainly emphasize some unpleasant properties of the synthesis funct...
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...