Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
The deletion–contraction algorithm is perhaps the most popular method for computing a host of fundamental graph invariants such as the chromatic, flow, and reliability polynomi...
Conventional information fusion architectures are challenged by developments in sensor networks that allow individually-owned (and thereby selfish) sensors to interact and share d...
Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings...
We present a game-theoretic model of the interactions between server and clients in a constrained family of commercial P2P computations (where clients are financially compensated...
Matthew Yurkewych, Brian Neil Levine, Arnold L. Ro...
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...