Although chronic diseases cannot be cured, they can be effectively controlled as long as we understand their progressions based on the current observational health records, which...
Liqiang Nie, Luming Zhang, Yi Yang, Meng Wang, Ric...
In this paper, we report on identifying the underlying factors that contribute to the visual interest in digital photos. A set of 1005 digital photos covering different topics an...
Noise pollution in modern cities is getting worse and sound sensors are sparse and costly, but it is highly demanded to have a system that can help reason and present the noise po...
Immersion is the ultimate goal of head-mounted displays (HMD) for Virtual Reality (VR) in order to produce a convincing user experience. Two important aspects in this context are ...
Michael Stengel, Steve Grogorick, Martin Eisemann,...
Video-based group behavior analysis is drawing attention to its rich applications in sports, military, surveillance and biological observations. The recent advances in tracking te...
This paper presents a novel content-based emotion-oriented music video (MV) generation system, called EMV-matchmaker, which utilizes the emotional temporal phase sequence of the m...
While synchronous meetings are an important part of collaboration, it is not always possible for all stakeholders to meet at the same time. We created the concept of hypermeetings...
Andreas Girgensohn, Jennifer Marlow, Frank M. Ship...
We present in this study a novel approach to predicting EEG epileptic seizures: we accurately model and predict non-ictal cortical activity and use prediction errors as parameters ...
Abstract This paper deals with the learning curve in a Gaussian process regression framework. The learning curve describes the generalization error of the Gaussian process used for...
Recent years have seen a surge of interest in Statistical Relational Learning (SRL) models that combine logic with probabilities. One prominent and highly expressive SRL model is M...
Tushar Khot, Sriraam Natarajan, Kristian Kersting,...