Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
With the advent of new technology in vehicles, drivers can access information in many different forms (email, address books, Web pages) and from many information sources (cell pho...
Finding effective interactive deformation techniques for complex geometric objects continues to be a challenging problem in modeling and animation. We present an approach that is ...
Intelligence analysis is difficult due to the volume and complexity of the data, as well as the subtlety of the connections that have to be made in order to identify threats. Info...
John Booker, Timothy Buennemeyer, Andrew J. Sabri,...
I propose a notion of visual information as the complexity not of the raw images, but of the images after the effects of nuisance factors such as viewpoint and illumination are dis...