Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
We develop techniques that make authenticated directories efficient and scalable toward the goal of managing tens of billions of objects in a single directory. Internet storage s...
Paul T. Stanton, Benjamin McKeown, Randal C. Burns...
This paper introduces XHMBS (the eXtended Hyperdocument Model Based on Statecharts) to support the formal specification of general hypermedia applications. XHMBS uses a novel form...
Fabiano Borges Paulo, Marcelo Augusto Santos Turin...
This paper concerns approximate nearest neighbor searching algorithms, which have become increasingly important, especially in high dimensional perception areas such as computer v...
Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Y...
Location models are data structures or knowledge bases used in Ubiquitous Computing for representing and reasoning about spatial relationships between so-called smart objects, i.e....