Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
Although the concept of using brain waves, e.g. Electroencephalogram (EEG), for personal identification has been validated in several studies, some unanswered practical and theoret...
Fei Su, Liwen Xia, Anni Cai, Yibing Wu, Junshui Ma
Camera handoff is an important problem when using multiple cameras to follow a number of objects in a video network. However, almost all the handoff techniques rely on a robust tr...
Rating-scale evaluations are common in NLP, but are problematic for a range of reasons, e.g. they can be unintuitive for evaluators, inter-evaluator agreement and self-consistency...