We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Traditional component models and frameworks simplified software system development by enabling developers to break software systems into independent pieces with well-defined interf...
In this position paper we propose an evaluation framework for networked mobile gaming, consisting of user, group, communication, and environment models. Each of these components a...
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Abstract. Content-based Publish/Subscribe (CPS) is a powerful paradigm providing loosely-coupled, event-driven messaging services. Although the general CPS model is well-known, man...