Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
The TaskTracer system allows knowledge workers to define a set of activities that characterize their desktop work. It then associates with each user-defined activity the set of ...
Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael G...
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Network traces are essential for a wide range of network applications, including traffic analysis, network measurement, performance monitoring, and security analysis. Existing cap...
Chia-Wei Chang, Alexandre Gerber, Bill Lin, Subhab...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...