K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Abstract. Previous work of the authors has studied a notion of implication between sets of sequences based on the conceptual structure of a Galois lattice, and also a way of repres...
This paper describes shear-image order ray casting, a new method for volume rendering. This method renders sampled data in three dimensions with image quality equivalent to the be...
Yin Wu, Vishal Bhatia, Hugh C. Lauer, Larry Seiler
— In the last decade, graph-cut optimization has been popular for a variety of labeling problems. Typically graph-cut methods are used to incorporate smoothness constraints on a ...
Memory models like SC, TSO, and PC enforce load-load ordering, requiring that loads from any single thread appear to occur in program order to all other threads. Out-of-order execu...