The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Multicast applications for large-scale Mobile Ad hoc NETworks (MANETs) require an efficient and effective Quality of Service (QoS)-aware multicast model. The new requirements to ...
Guojun Wang, Jiannong Cao, Lifan Zhang, Keith C. C...