Current hard real-time technologies are unable to support a new class of applications that have real-time constraints but with dynamic request arrivals and unpredictable resource r...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
The security of smart card based electronic cash have been receiving significant attention recently. However, there has been little systematic analysis or quantification of the imp...