The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
In theory, peer-to-peer (P2P) based streaming designs and simulations provide a promising alternative to serverbased streaming systems both in cost and scalability. In practice ho...
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...