We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Aloha-type random-access protocols have been employed as access control protocols in wireline and wireless, stationary and mobile, multiple-access communications networks. They are...
Think Like a Commander – Excellence in Leadership (TLAC-XL) is an application designed for learning leadership skills both from the experiences of others and through a structure...
Randall W. Hill Jr., Jay Douglas, Andrew Gordon, F...
Random data placement has recently emerged as an alternative to traditional data striping. From a performance perspective, it has been demonstrated to be an efficient and scalable...