7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany, August 24-27, 2009 Bayesian boundary models often assume tha...
Large amount of monitoring data can be collected from distributed systems as the observables to analyze system behaviors. However, without reasonable models to characterize systems...
While affective computing explicitly challenges the primacy of rationality in cognitivist accounts of human activity, at a deeper level it relies on and reproduces the same inform...
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
We present a simple technique for creating fluid silhouettes described with vector graphics, which we call ”Vector Fluid.” In our system, a solid region in the fluid is repr...