—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Simulation of large-scale networks requires enormous amounts of memory and processing time. One way of speeding up these simulations is to distribute the model over a number of co...
A lexical network is a very useful resource for natural language processing systems. However, building high quality lexical networks is a complex task. “Jeux de mots” is a web...
— We seek a simple model that describes how market forces acting on rational players result in the evolution of the multi-faceted topology of the Internet that we see today. We m...
Srinivas Shakkottai, Marina Fomenkov, Ryan Koga, D...