Building distributed embedded systems from scratch is not cost-effective. Instead, designing and building these systems by using domain specific components has promise. However, i...
John A. Stankovic, Ruiqing Zhu, Ram Poornalingam, ...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Although there has been much written about various information integration technologies, little has been said regarding how to combine these technologies together to build an enti...
Greg Barish, Yi-Shin Chen, Dan DiPasquo, Craig A. ...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...