In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
Over the last decade and a half, tabu search algorithms for machine scheduling have gained a near-mythical reputation by consistently equaling or establishing state-of-the-art per...
Jean-Paul Watson, Adele E. Howe, L. Darrell Whitle...
Abstract— This paper presents a design environment for efficiently generating application-specific Intellectual Property (IP) cores for system level signal processing algorithm...
Ramsey Hourani, Ravi Jenkal, W. Rhett Davis, Winse...
Diminished reality is as important as augmented reality, and both are possible with a device called the Reality Mediator. Over the past two decades, we have designed, built, worn,...
Polarization diversity has proved to be a useful tool for radar detection, especially when discrimination by Doppler effect is not possible. In this paper, we address the problem o...