The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, is a generalization of the...
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
— In recent work, “interaction patterns” have been proposed as a means to characterize essential features of humanrobot interaction. A problem arises, however, in knowing whe...
Peter H. Kahn Jr., Brian T. Gill, Aimee L. Reicher...
Lloyd relaxation is widely employed to generate point distribution for a variety of applications in computer graphics, computer vision, and image processing. However, Lloyd relaxa...
Hongwei Li, Diego Nehab, Li-Yi Weiy, Pedro V. Sand...